{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# AMC Worksheet\n",
    "\n",
    "\n",
    "Use this notebook to load AMC experiments to do a deep-dive analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Notebook code\n",
    "\n",
    "Skip this part - it is necessary only for creating the diagrams.  You may also toggle the code-view button."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import HTML\n",
    "HTML('''<script>\n",
    "code_show=true; \n",
    "function code_toggle() {\n",
    " if (code_show){\n",
    " $('div.input').hide();\n",
    " } else {\n",
    " $('div.input').show();\n",
    " }\n",
    " code_show = !code_show\n",
    "} \n",
    "$( document ).ready(code_toggle);\n",
    "</script>\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off code view\"></form>''')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Analyze AMC Experiment\n",
    "\n",
    "\n",
    " - [Read the results log file](#Read-the-results-log-files)\n",
    " - [Plot experiment performance](#Plot-experiment-performance)\n",
    " - [Compare multiple experiments](#Compare-experiments)\n",
    " - [Sample best networks](#Sample-best-networks)\n",
    " - [PCA projection](#Two-dimesional-PCA-projection)\n",
    " - [Plot action distributions](#These-are-the-actions-the-networks-experienced)\n",
    " - [Plot the learning process projected to 2D-space](#Network-2D-embeddings)\n",
    " - [Plot actions distributions](#Plot-a-histogram-of-the-actions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "from amc_worksheet_jupyter import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read the results log files\n",
    "\n",
    "The code below reads the log file of your selected experiment.  To change the path to the file you will need to open the code cell and change its content."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/experiments/amc/plain20-ddpg-private/2019.08.01-181040/1___2019.08.01-181047/amc.csv\n"
     ]
    }
   ],
   "source": [
    "#pd.set_option('display.max_colwidth', 150)\n",
    "\n",
    "import os\n",
    "\n",
    "EXPERIMENTS_DIR = os.path.join(\"/experiments\", \"amc\")\n",
    "\n",
    "# expr_dir = os.path.join(EXPERIMENTS_DIR,\n",
    "#                         \"mobilenet_v1_training___2019.06.30-084753-ddpg-reconstruction\",\n",
    "#                         \"2019.08.02-023635\")\n",
    "# fpath = os.path.join(expr_dir, \"0___2019.08.02-023641\")\n",
    "# fpath = os.path.join(expr_dir, \"1___2019.08.02-023641\")\n",
    "# fpath = os.path.join(expr_dir, \"2___2019.08.02-023641\")\n",
    "# fpath = os.path.join(expr_dir, \"3___2019.08.02-023641\")\n",
    "\n",
    "expr_dir = os.path.join(EXPERIMENTS_DIR,\n",
    "                        \"plain20-ddpg-private\",\n",
    "                        \"2019.08.01-181040\")\n",
    "#fpath = os.path.join(expr_dir, \"0___2019.08.01-181048\")\n",
    "fpath = os.path.join(expr_dir, \"1___2019.08.01-181047\")\n",
    "# fpath = os.path.join(expr_dir, \"2___2019.08.01-181047\")\n",
    "# fpath = os.path.join(expr_dir, \"3___2019.08.01-181047\")\n",
    "\n",
    "fname = os.path.join(fpath, \"amc.csv\")\n",
    "print(fname)\n",
    "df = pd.read_csv(fname)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot experiment performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "eda3c0440963449b9d947e9aca635622",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=10, description='window_size', max=50, step=5), Checkbox(value=True, des…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(window_size=(0,50,5), top1=True, macs=True, params=False, reward=True)\n",
    "def plot_performance_proxy(window_size=10, top1=True, macs=True, params=False, reward=True):\n",
    "    plot_performance(\"Training Data\", df, 0.15, window_size, top1, macs, params, reward)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare experiments\n",
    "\n",
    "If you have multiple experiments, you can compare them here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cc62eca32d514810a0a4be37a8bd6e2f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=10, description='window_size', max=50, step=5), IntSlider(value=0, descr…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import auto_compression_jupyter as acj\n",
    "\n",
    "df_list = acj.load_experiment_instances(expr_dir)\n",
    "df_len = min([len(df) for df in df_list])\n",
    "\n",
    "@interact(window_size=(0,50,5), top1=True, macs=True, params=False, reward=True, zoom=(0,df_len,1))\n",
    "def plot_experiment_comparison(window_size=10, zoom=0):\n",
    "    start = 0\n",
    "    end = zoom if zoom > 0 else 0\n",
    "    acj.plot_performance(\"Compare Experiments (Top1)\", df_list, \n",
    "                          0.15, window_size, True, False, False, False, start, end, plot_type='compare')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "af4c96e50ad54742be451396fa883305",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=10, description='window_size', max=50, step=5), Output()), _dom_classes=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(window_size=(0,50,5), top1=True, macs=True, params=False, reward=True)\n",
    "def plot_experiment_comparison(window_size=10):\n",
    "    plot_performance(\"Compare Experiments (Top1)\\nError view\", df_list, \n",
    "                     0.15, window_size, True, False, False, False, plot_type='error')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Sample best networks\n",
    "\n",
    "Let's look at the networks with the best top1 accuracy, and see if they share geometrical attributes.\n",
    "\n",
    "We sort the discovered networks by their search-Top1 accuracy and display the density of each layer in the networks.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique:  8\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import hashlib\n",
    "from collections import OrderedDict\n",
    "\n",
    "# Choose network to study\n",
    "df = df\n",
    "top1_sorted_df = df.sort_values(by=['reward'], ascending=False)\n",
    "\n",
    "\n",
    "nrows = 2; ncols = 4\n",
    "f, axarr = plt.subplots(nrows, ncols, figsize=(15,7))\n",
    "arch_dict = OrderedDict()\n",
    "arch_shapes_dict = OrderedDict()\n",
    "for i in range(0, nrows * ncols):\n",
    "    record = top1_sorted_df.iloc[i]\n",
    "    episode = record['episode']\n",
    "    net_layer_sizes = json.loads(record[\"performance\"])\n",
    "    #print(\"{}\".format(type(list(net_layer_sizes.values())[0])))\n",
    "    net_as_nparray = np.array(list(net_layer_sizes.values()), dtype=np.float32)\n",
    "    arch_shapes_dict[episode] = net_as_nparray\n",
    "    net_str = \",\".join(str(layer_size) for layer_size in net_layer_sizes.values())\n",
    "    net_hash = hashlib.sha1(net_str.encode())\n",
    "    try:        \n",
    "        arch_dict[net_hash].append(episode)\n",
    "    except KeyError:\n",
    "        arch_dict[net_hash] = [episode]\n",
    "    \n",
    "    plot_layer_compute_densities(top1_sorted_df, i, ax=axarr[i//ncols, i%ncols], color='g')\n",
    "    # Fine-tune figure; make subplots farther from each other.\n",
    "    f.subplots_adjust(hspace=0.6, wspace=0.4)\n",
    "    \n",
    "print(\"Unique: \", len(arch_dict))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Two-dimesional PCA projection\n",
    "\n",
    "We can get a notion of the degree of similarities of the discovered networks, but projecting their architectures onto a lower-dimensional space, using PCA projection.\n",
    "To do this we convert each network architecture to a numpy array, where each coefficient in the array is the normalized number of weight elements left in the layer's weights (i.e. this is the density of the layer weights)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Which components explain the variance best [0.63029018 0.22002047]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "arch_shapes_dict = collect_info(top1_sorted_df[0:10])\n",
    "pca_projection(arch_shapes_dict,\n",
    "               title='2-Component PCA\\nBest 10 Networks\\nSize encodes the search-Top1',\n",
    "               show_legend=False, show_episode_ids=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the projection of the entire set of discovered networks.  Each 100 episodes are color-coded using a different color.\n",
    "\n",
    "We can see how AMC follows a \"discovery manifold\" and slowly searches and discovers \"better\" networks in the manifold."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Which components explain the variance best [0.41691629 0.25621805]\n"
     ]
    },
    {
     "data": {
      "image/png": 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0KWkQx3j5d9KUKe+jvCn2c6Tav89I2qlfnqQ2SU+p2bw2v+5fmx5SzRjwS+AQ0lQlKyKiN++7mzQy9h2kvnmX1RzbR+ozN5s0Z2AxLwcDb8/5/Xrpu21ARPwKeDp5hLCkpxau0S7p+Npjcl/Lzry6daTXNrPR42DPzMaNpMWkAQy/i4jBBgl8mRRgvHpXn0/bqDzI4SPAPAb65xX33wq8hjQg4feSfiTpU5I+K+n7pD5yX6o5rFo79z1JH5Z0hqRX1knTxY598qr7umrSFb0buBU4TdLVeZDEl0i1eXsC79zVmtGIuIZUS9cLXCzp6XnXDGCFpNslnS/pY5L+E/gtcCTww4j4w65c28xGh4M9MxtP1Vq9cwdLFGnS3p+T+p09d4zzVPRZUm1aqYj4Bqkp95vA40jTkvwDqWbuAuAtNYecC3yUNJjidFIN3Gtr0hSDuMvq7NtOqgGszU83aZTwx0kB6j+TagivBZ4VEV+o916GIyJuIE39sgn4kaS/BbYA/0qad/A4Ug3kK0jN0m/GkyqbTRoqTM1kZmZmZk3GNXtmZmZmTczBnpmZmVkTc7BnZmZm1sQc7JmZmZk1MQd7ZmZmZk3MwZ6ZmZlZE3OwZzYGJK2UtHKi89GsJC3Pz9Gd1CQtzs/8XTrReWkmE12ukpbk6y+ZiOubDZeDPZuSJD1a0tmSbpa0QVKfpD9LukjSa/0Ad2uEpEX5S3/ZROfFzKyecXkMkdlkIun9wAdI/+xcBXwV2AzsTXpKwLmkJwAcNUFZNDMzGzUO9mxKkfRe4EzgXuAl+bmftWlOAd413nkzMzMbC27GtSlD0iJgKbANeE5ZoAcQET8GnlVy/Esl/TI3+z4k6XeS3jOcJl9J7ZLenY/dKmmjpF9JemlZfqtNhJIeJenbklZLqkha3OD1Xi7pF5LWS+qR9AdJZ5TlOV9ruaQFkr4o6QFJvZJ+L+nVg1zjGZJ+lPPWK+leST+Q9LSadC2S3iTp15I2S9qSf36zpNK/RZL+TtL1ubxXS/q6pEcM8Z6fKeliSWtyfu6U9AlJc0vSPk7S/+Q+lr2SHpT0G0lnSZo+xHWWAnfn1Vfl8qsuS0rSH5m7CazPn/3lko6rc+5pkt4i6ep8j2yVdIOk0+qVVZ3zHJQ/yztyGXbne++/Jc0vST+c++X5kr4h6Y/5s9ySP6u3l+Ux38eR8/Q2STflPC2vSdfQ/TSScq1zfPH37NGSvp/LaYukFZKeMcTxJ+bfm035s7pI0l+VpHuUpP+QdF2+z3ol3ZM/n/1K0kvSqyRdmdP35LK4RNLLStLvJ+lzku7K514r6YeSntRoWVjz8rNxbcqQdCbwfuD8iHj5MI/9CPAeYA3pgfebgWcDhwOXA8+IiL5C+pUAEbGosK0N+CnwVOBW4MfATODFQBfw0Yh4byH9IlIwsQJ4LPBH4EpgBvDFiPjNEHk+D3g1cF++7nrgGNJD65cDT4+I7YX0Afw2n78vp2knPdB+LrAkIr5ac41qmW4Gvk+qMX1EvsaVEbGkkPabwCtymu8BAbwAOAD4VkT8fc25/wn4dM73d/LrM3NeNgCPiwjVHPMBUkDfTSrf1cDjgGcAtwDHRsTGnPZxwDU5Hz8klfWewCHAiUBnRGwepHwXA88H3pHL7fuF3d+PiBtzml8AFwEnkboN3ADsD7yIVM5HRsRthfNOB36U3+ttpM+hJ+fpccA3IuKV9fJVOM8+wM35PV1Muuc6gAOBk4GjI+LmQvrh3i+3AhXgeuB+YE5+j48qy6NSv8ZXkT6Xp+QyuRfoj4j35TQN3U8jKddBymkR6bP/Jal8fwdcAewDvAxoA14REd8uHLME+ArwXeBU4P9In9VjgOcADwKPiYg1hWPeDbw75/venMfDSZ/zX4CjIuL+Qvrq35y78/k35Dw9Cbg1Il5cSPsE0mfWCVwC/B5YQLo/ZwAviIiLhyoLa2IR4cXLlFiAS0lf7K8b5nHH5uP+BCwsbJ9G+lIO4L01x6wEVtZse09OezEwrbC9K6cP4LjC9kV5WwAfGWael+TjvgfMqNm3NO97R8326rXOBVoL2x8DbAduqUn/jJz+LmDfkjzsV/j55Tntb4BZhe17ANflfa+oee99pKBtUWF7C+kLNtKfrx2ud2LefiUwt055fKaw7VN526kleZ8HtDRQztXPaFmd/YsL5bqkZt8b8/Yv1Pl8zq75HFqBL9fLc8m131b2ORfKfUZhfST3y8El520h9YENUjBZ3Lcsb78fOLDk2OHcT8Mu1wY+wwA+UbPvKFJLwDpgz5Ly2g6cXHPMR/O+02u27wu013nf/cB/1WxfSwq8Z5Ycs6Dw8zTgDtI/BE+tSfeIXN4PlF3by9RZJjwDXryM10Kq2QngWcM87kv5uDeU7HtU/kN9V832lewc7N1Oqgl5dMl5XpuvcV5hW/VLaNVw/1CTajm2URP05H2tpBrKa2u2B7Cl+KVW2Hd53l8M1KqB7gsayM/PctpnlOw7Oe+7rLDtfXnbmSXpD8plHjXbL8zHHD5ImawurH+qXp6GUc7Vz2hZnf2L8/4VJfum58/ousK2lvwl/wCFfwgK++fme+g7DeStGuztdN+Oxv0yyLmekK/7/prty6gTfI7gfhpWuTb4Ga4HZpfsr+b7VYVtS/K2b5SkPzDvu2AY99FN7Pw3ZC2pVm/Q331SzeJOgWph/zvy/ueM9D73svsvHqBhNrQn5NfLandExB8l3QccKGlORGwoO4Gk2aTmwfsj4taSJNVzP75k328jorfRzEqaCRxB+oJ+p6SyZL3ATv2KgNsjN3PWuDe/ziM1sUFq4gvgJw1k6wmkIGV5yb7LScHb42vSV/ftICLuknQvqfm36FjSl/xLJL2k5DptwF6S5kfEWuDbpC/C70u6APg5cEVE3NnA+xmu62o3RMQ2SX8hlWnVo0hNcbcDZ9T57B6i/LOr9UPgI8DnJT2T1Lx3BamGNqqJRnq/5D5//0JqtjyIVFtYtG+dfF1bZ/tw7qeqRsu1Eb+JiE0l25eTmp8fT6q1HPT67Pi78jClgv17UqB4RN7fWkjSx46+SQrYb5H0HdLvwlUlf2OOza8HqHzewUPz61+RWhVsCnKwZ1PJA6Q/ePW+hOqZUzi+3nn3Z6Av2UjPQT5HrVVDZbDGPEDAXqQpZoZjfZ3t1b5axS+nucC6iHiogfPOAbqj0K+xKiK2S1pDas4upofUl6nMKnYO9uaT/qYN9Z5nAWsj4lpJTyHVIr4YeCWApNtINYr/M8R5hmOwci2WaXXQxKEM/j5mDXXBiLhH0t+QmmGfBbww77pX0icj4rN5fdj3i9Jgl1+TarGuBb5GanLfTrov3kHq71mm3v08nPupqtFybcRg9xoM3JODXj/fz5Rc/9PAO0m/65eQmler73UJO9/P/0Rq0n41qa/fu4Htki4G3hURd+R01Xum7B+coiHvGWteDvZsKllB6sx9MqnvU6OqAdxCoKzWZ5+adEOdo8xg54iSbYOpnuOGiHjCoCl3zXpgvqQZDXxBbwA6JU2PiG3FHZKmkTqTb6xJD2nuw9+XnK+sHDeQ+tl1NpR7ICKuAk5RGm36RFJQ9DbgW5IejIifN3quUVJ93xdGxAsHTdmAiPgD8LJcxkcATyO9v/+UtCUivszI7pfXkQK9MyNiaXGHpGNJwV7dbNXZPpz7aSzsXWd79V4b7Pd7UJK6gLeTBswcV1uDKGmnAWMR0Q+cBZyVj38y8HekoO5wSYfnGv9qvk6NiB+ONI/W3Dz1ik0lXyE1871I0mMGS6gdp5q4Ib8uLkl3CLAfcHdE1KtlIP9xvxPYV9KhJUlOzK+DjrBtRKQRpL8nfSE0HPiMwNWkGqGdpqkpcQPp780JJftOINWCFN979een1iaWdBDwyDr5mSfp8Abys4OI6I2IKyPi/aQvZUh9oYbSn1+HW4tUz63kUbAaYuqX4YiI7RFxfUR8jDRYBtJIzZHeL4fk1++W7NvpM2vQcO6nsfCE3N2i1uL8ekPJvkYdRLr/f1oS6O2X99cVEasj4nsR8VJSl4+DSSP0IZUbpBHOZqUc7NmUERErSU1abcBFkkqfkCHpWaSpDqrOy69nSNqrkK4V+CTp96iRmsLzSF9mn8jHVs+zAPi3mmvtqk+T3ud5Kp9fbl6ermFXnJ1fPyVpp6bxmm3V9/XR3EesmmYm8B95tViG3yQF5m/LU2NU07cAn6D8b9dn8uuXVDIXn6Q9JB1TWD9O0oyS81RreLaW7Ku1jlRTtX8DaYcUaWqTs0k1vZ8ty5+kfYb6ZyWne6KksqbHsvc33PtlZX5dXJPu8aRR5yMxnPtpLMwhTftSvOZRpH52G0gDgEZqZX59cs3v/izSALAdWtmU5uM8vvYk+R+AakBe/fx+QPpH8q2SnlN2cUnHFn/vbOpxM65NKRHxkdyk9QHg15KuJHWyrj4u7QRSf6nrCsdcKenjwOnAzbkz/xbSPHuPJTUPf6KBy38yH3Mq8Nvc92YmqVmmC/h4RKwYpfd5nqQnAm8B7pR0CWnqmE5S89sJpJrON+3CNX4q6UPAGcAfJFXnRdub1OR0NakvEhHxLUmnAi8Ffp/TBql26UDg2xHxzcK5V+Z5yT4F3CDp26Qv3Oo8ezeR5kQr5ufSfMxHgdtz+d5N6qt0AKnGaQUDNUenAydJ+lVOt5k079mzSUHcFxsog82SrgGeojSP4B9JtX0/jIibGirInX2Q1OT6JuC5ki4j9e/qIt2bx5P6Gd4yxHleCbxR0gpSMLCOVCP0XNKAi7MK72O498vXSIMzzpJ0ImlAyaHAKaTpW3aa9Hcow7mfxsgvgddJOpod59lrAd5YZ+BSQyJilaTzSc2wN0r6KSm4fDppypQbgSMLh8wAVki6gzSP4T2kORKfTup3/MPcRF8dkPJCUj/Ai/LftBtJweAjSfPyHZTfTyP/wFgzmujhwF68TMRC+oN5NqkPzUbSSLgHSDV6r6V8Pqy/IwULm0h/oH9P+tLtKEm7kpqpV/L2DuC9+boP5XOtAF5eknYRg0zr0eD7PIWByYX7SJ3NrwU+RM0UMPlay+ucZ1nev6hk33NIIyi7SUHEvaRakJNq0rWQgonrSF86W0lfZG+lzpx2pCbH3+TyfhD4BmnusOXUTL1SOObJpEmY/5zf84OkL79PkyauraZ7BimAuYUUSG4hTYz7WeCAYZTxIaRpQ9aSRhw/PPcbA1OELK1zbL37RKRg7dJcrn2kgG9Fvn8e2UC+jgb+izThc3e+3+7I7/mxo3C/PIY04nd1LrvrSX35Su/bwe6h4d5PIy3XOmkfzi/p78IPSIHxVlLQ98ySY5YUP+eS/Tv9LpH+sfswA3Pi3Qt8njTAYof7mTR9zOmkv0d/YuD+v5oUcLeVXLOLVEt+c877ZlIQfgHwD5RM5eNl6ix+goaZmU1ZGniCxlej8MQXs2biPntmZmZmTczBnpmZmVkTc7BnZmZm1sTcZ8/MzMysiblmz8zMzKyJOdgzMzMza2IO9sxGgaQlkkLSkonOS7PL5bx8ovMxFElLc14XT3RemonL1Wz4HOyZlZDUKun1ki6X1C1pm6TVkm6SdK6k5010Hm1iOcDfvUl6Xf78Gl22j3P+/l7SFyRdKWlzzsPnxjMP1jz8uDSzGvnZlT8mPVZrPXARcB/p2aGHA68AHk16ekDVhaTZ7R8Y18ya2Uj9BjizZttBpCeX3E16JFxRZTwyVfBh0mP+NpCeBnPoOF/fmoiDPbOdvZwU6P0WeGpEbCjuzA8UP7q4LafZIZ2ZTV4R8RtSwPcwSU8jBXt3RcTSichXweuBOyPiLknPJ/1DaTYibsY129lx+XVZbaAHEBFbI+IXxW1lTXqSlg3RLLSy9tySXi7pF5LWS+qR9AdJZ0hqH84bkDRT0nsk3ShpS24GukrSy0vSLs75WSrpSEkX5etvzc3Yx9W5RqukN0m6QtIGSQ9JuiM3cx9ak3aOpI9Kui2/r3WSLslfrmXnbpP0b5LulNQr6W5JHxqsHCRNk/QWSVdL2pjzf4Ok0yTt9LdO0vMkXSrpgXyNP+f3+5YGync56RmzAF+p+VwXlaR/saRrc566JZ0vad865+7MZfWHXKYbcj6fMVS+as7zFEk/kg0J0y8AACAASURBVHRffn+rctl8oCTtcO6XtlymF0u6J5+7W9LPJT27Tl5W5mVPSZ/OP2+TtLSQpuH7qXBMw+U62iS9SqmJdVO+/o2S/knSTpUo+ffpRkkL8vtZlX8PbpL0urLzR8TPIuKusX8nNhW4Zs9sZ2vz66N28TzfJz2QvdZfAy8kPaz8YZLOA15NajL+LqkJ+Rjgg8DJkp4eEUP2G5I0F7gMeDyp5uI80j92zwS+JenwiDij5NCjSA9fvwo4F9gfeBFwqaQjI+K2wjXaSE3dTyc90P1bwEbSQ+VfAKwgPYS9mp8rgMcAvwbOAhYALwV+KunNEXFO4dwCvgOcCtwJfI7UhP6aXHZl73k68KP8Hm/L+ekBTgTOJtXEvrKQ/g3AOcCqfNwa0oPkH0f6DL5QWrgDlpE+n1OBHwA3Fvatr0n7FuB5pGb/y3NeXgYckcu1t5CvA4DlpHL8FfATYA/gFOAnkt4YEV8aIm9Iehap+8HGfN37gU7gr3J+ziykHe790gn8J3Al8DPgQWAf4LnAxZJeHxHnlmSrLV+nE/hpztvdOQ8N308FDZfraJP0BeDNpPvnq0Av6f1/GjhJ0qkRUdvsuwfwy/zz1/P6S4AvSTowIt43Vvk1IyK8ePFSWEhfen2kPjpfJwVmBwxxzBIggCVDpNuPFMw9BBxTcvz3gBk1xyzN+97RYP6X5fSn12zvIAUPFeDIwvbFOf1O+QfemLd/oWb7R/L2HwLtNfvagb0K6+fktOeQJ3LP2w8lNX33AosK21+R018FdBS2d5KCvwCW1ymjs4HWwvZW4Mt536mF7dfn63aVlN+CBst50M+8kKeNwF/X7PtW3vfSmu3L8+fzdzXb55ICyoeAvRvI23fz+Y8Y6v2N4H5pB/YrOe8c4Gagu+QeXpmv8XNgj5Jjh3M/DbtcG12Ap1XzOUiaZ+c0twGdNflcnve9peaY9Xn7/wHTCtv3IfXHq5R9VoV0z8/Hf24k78uLlwnPgBcvk3Eh1To9wEAQFKQavwuB55akH/SLP6eZTeoHWAFeXLPvBmAbMLfkuFZSzdO1DeR7PrAd+HWd/UfkfH68sG1x3raiJP30nK/ravKznlQz+Ygh8tMGbAE2Fb8YC/s/mK/9/sK2n+VtJw5SzssL21ryZ/NA8Yu0sH9uLvPvFLZdn/M1bxfukUE/80JQ8qGSfSfmfZ8s+Wz+t875Ti0LJOqkrQZ7jxrt+2WI8/1zTn9CzfaV1A8+G76fRlKuw/xMGwn2/pc6ASXwxLzvNzXbq8HeX5cc88687zODXNPBnpddWtyMa1YiIr4j6ULSl8eTSbV9Tyb90X2+pK+RvuSjkfMpjfD9DqmZ8PSIuKCwbybpS3UN8M7UirmTXlIT3FCeRPryjGJ/qILp+bXsXNfVboiIbZL+AswrbH40qRbnmoj48xD5OQyYCVwREd0l+y8DziCVb9UTSMHZipL0y0u2PYpU63c7cEad8nuIHd/zN4FPAbdIOp/UDHhFRDw42JsZoZ3KldRUCTuW67H5dU6dz26v/NrIffBNUo30NZK+DfyC9P7uq0k3ovtF0uHAvwAnkGqnOmqOK+s31wPcVLJ9OPdTUUPlqjS44ciadDdGxPeHca2iJ+TXy2p3RMT1kjYCj5PUEjs25a6LiN+VnG95fn18yT6zUeFgz6yOiNhG6lv0U3g4YHsRqU/TP5Jq+Rr9wvg8aYTvORHxiZp98wCRvsw/sIvZnp9fn5SXemaVbKvta1a1nRQQVM3Nr/c3kJ85+bXelDTV7XML2+YA3bn8a60q2VZ9z4cyePk9/J4j4tOS1pD6fb2dXLsi6XLgXyKiLJAYqbJyrfa9LJZr9X08PS/1lH12O4iI70k6BXgXqa/jGwEkXQ+8JyJ+VnPNhu8XSceQAp1pwKWkpteN5OZeUg1k2UCa1XX+ORrO/VTUaLk+H3hVTbqv0vjvbq05wPaIWFNn/wOkf3Jms+MI/b/USV+9p+fU2W+2yzwa16xBEdEfEd8BPpM3ndTIcZJOJ33Z/h/w1pIk1S+EGyJCgy0NXK56rs8Mca4TG8l7HdUv2UZGPVbzs7DO/n1q0lV/7syDLmqVnad67IVDvOcDiwdFxNci4hhSwPO3pL59JwCXSNqL8Vd9H+8Y4n28upGTRcRFEXES6Z+Jk0n37eHAjyU9puaaw7lfzgBmAM+IiGdHxDsj4v2Rpiq5ZrAs1dk+nPtp2CJiScn7WbILp9wATJM0v87+hUA/sLlm+96DpK+e12xMONgzG75N+XXI4EvSi4H/IPXVe1lE9NemiYjNwO+BwyV17mLeriXVsDxlF88zmFtJX9CPk/SIIdLeRuqLdUQe9VmrGkQU5zv7Delv05NL0i8eJD/H1AkQBxUR6yPi4oh4PWmwQicp6BtK9bNsHTRV467Or6P62UXEloi4LCL+mTQQoo00yABGdr8cQqp5XV6y76kjyOJw7qfJ4Ib8urh2h6QnkGrobir5XZ8nqWw0efU8N5TsMxsVDvbMaijNdfd0lc/NtpA02SkMTKNQ7zzHkkbz/hn424jYNEjyT5O+hM8rC4okzctfJIOKiNWk/lpHKc1Tt1MgIulgSQfufHRj8pfYF0i1O/+tmrnv8jxse+W0fTk/s0mDMXbIB6kJdRupnKq+kl8/LKmjkL6TVKtUm5/tpFG4+wCflTSjNo2kfQq1WUg6UeWd+7ry69aSfbWqU/Ts30DaIeWm418BL5T0mrI0kv5aUlfZvpp0J5TN98ZA7dLWfM2R3C8rSTWvj6tJ91rSdC3DMpz7aZI4L7/+u6SHm17z9DHVLhpfrnPsx4ufi6R9SNMdBalp2WxMuM+e2c6OBt4BrJK0gjwXGHAgqblvBmlutQvKD3/Yl0kd168BXl8SW6yPiLMAIuI8SU8k9SG7U9IlwJ9ItUwHkmqavgK8qYH8n0bqv/bvwCvze/gL8AhSR/snkZ4ScnfdMwztTFI5PRf4o6Qfk2o8Hwk8g9R5f1lO+25SzdFpkp5EGixQnWdvNnBaRBTz8j+k+dKeB9ws6QekgQIvJs3Td3BJfj5IGuTyJuC5ki4j9QHrymVxPPA+4Jac/kJgs6SrScGLch6fRBqp+/MGyuAqUtD0ztykV+17dXaUTMbdoFeQ+sN9WdLbSffOetKUPY8DHksayLF6iPN8FthX0hWk99dHGil6EnAPcH4h7XDvl7NIQd0KSd8hNT8eRaqJvYD0OQ3XcO6nCRURF0v6EumfvlskfZdUvs8lDRb6P+C/Sw69g/T4s5skXUQauPRS0u/CRyKiOFcjkl5Beu8w8A/FyZKW5Z//FBHvH7U3Zs1tLIf6evGyOy6kL5i3kgKC20idz/tIHa8vBv4BaKk5Zgk103AwMN1EvWVlybVPIU0uuzpfcxWpqe1DwKOH8R7aSF/iVzIwl92fSB3q3wnML6RdnPOztM65VtbJ67R8jWtJ/ZO2kEbEfhE4pCbtXOBjeX8vKYD5GanfV738vx+4K6dfSXpWaDsl8+zlY0SaOPlS0lxvfaSAbwXwXuCRhbRvyp/vXaSArZvUjHY6MHsY5fwsUtC3ufC5Lsr7lub1xSXHLcr7lpXsm53ze30+70OkQOsi4A2UzFNXco6XkoLm2/M5NpLmwPswhTnrRnK/FO7Tq0kB2XrSIKYTqDMdTb17aCT300jLtcHPc8ipVwppX5PLoPoZ/ZY0IGZ6Sdr1pHkSF5AmLF+Vy/h3wOvrnP8sBv/7ceNI3qOXqbkooqGZI8zMzGwEJK0nBbu1U8CYjQv32TMzMzNrYg72zMzMzJqYgz0zMzOzJuY+e2ZmZmZNzFOv1FiwYEEsWrSo7v4tW7awxx57jF+GJjGXxQCXxY5cHgNcFgNcFgNcFgNcFgNGUhbXX3/9mogYdC5KB3s1Fi1axHXX1X8s5vLly1m8ePH4ZWgSc1kMcFnsyOUxwGUxwGUxwGUxwGUxYCRlIemeodK4z56ZmZlZE3OwZ2ZmZtbEHOyZmZmZNTEHe2ZmZmZNzMGemZmZWRNzsGdmZmbWxBzsmZmZmTUxB3tmZmZmTczBnpmZmVkTc7BnZmZm1sQc7JmZmZk1MQd7ZmZmZk3MwZ6ZmZlZE3OwZ2ZmZtbEHOyZmZmZNTEHe2ZmZmZNzMGemZmZWRNzsGdmZmbWxBzsmZmZmTUxB3tmZmZmTczBnpmZmVkTc7BnZmZm1sSmTXQGzGzqWr21wrq+YF6b6Jrp/z3NzMaCgz0zmxCrt1a49sEKLUCF4JgusWCGJjpbZmZNx/9Km9mEWNcXtACz20QLsLa3MtFZMjNrSg72zGxCzGsTFWBTX1AB5rf7z5GZ2VhwM66ZTYiumS0c0yXW9laY397iJlwzszEy6f+VlnSCpB9IukdSSDqjgWNW5rTFZcV45NfMGrdghjhsbqsDPTOzMTTpgz1gFnALcDqwahjHfQzYp7A8b/SzZmZmZja5Tfpm3Ii4GLgYQNLHhnHo5ogYTnBoZmZm1nQUEROdh4ZJWgmcGxEfaiBdBzCdVBt4KXBmRKytk/4NwBsA9t577yeef/75dc+9efNmZs2aNZLsNx2XxQCXxY5cHgNcFgNcFgNcFgNcFgNGUhYnnnji9RFx1GBpJn3N3gidDfwW+AvwaOBDwDMlHRkRD9UmjogvAl8EOOqoo2Lx4sV1T7x8+XIG2z+VuCwGuCx25PIY4LIY4LIY4LIY4LIYMFZl0ZTBXkR8qrD6O0nXA3cALwC+NTG5MjMzMxt/u8MAjV0WEXeRavkWTXBWzMzMzMbVlAj2JO0LdAH3TnRezMzMzMbTpA/2JM2SdKSkI4E2YGFePyTvf4GkW3NAh6RjJf0/SU+QdICkZwI/Bv4EXDhhb8TMzMxsAkz6YA84CrghL/sAb80/n5v3zwEOI428BegFXgj8HPgj8AXgauDYiNg8ftk2MzMzm3iTfoBGRCwH6k6vHxHLgGWF9d8Ax411vszMzMx2B7tDzZ6ZmZmZjZCDPTMzM7Mm5mDPzMzMrIk52DMzMzNrYg72zMzMzJqYgz0zMzOzJuZgz8zMzKyJOdgzMzMza2IO9szMzMyamIM9MzMzsybmYM/MzMysiTnYMzMzM2tiDvbMzMzMmpiDPTMzM7Mm5mDPzMzMrIk52DMzMzNrYg72zMzMzJqYgz0zMzOzJuZgz8zMzKyJOdgzMzMza2IO9szMzMyamIM9MzMzsybmYM/MzMysiTnYMzMzM2tiDvbMzMzMmpiDPTMzM7Mm5mDPzMzMrIk52DMzMzNrYg72zMzMzJqYgz0zMzOzJuZgz8zMzKyJOdgzMzMza2IO9szMzMyamIM9MzMzsybmYM/MzMysiTnYMzMzM2tiDvbMzMzMmpiDPTMzM7Mm5mDPzMzMrIk52DMzMzNrYg72zMzMzJqYgz0zMzOzJuZgz8zMzKyJOdgzMzMza2IO9szMzMyamIM9MzMzsybmYM/MzMysiTnYMzMzM2ti0yY6A2Zm1hzWPBR091bobG9hwQxNdHbMLHOwZ2Zmu2zNQ8HVq/sREPRzTFerAz6zScLNuGZmtsu6eysI2LNNKK+b2eTgYM/MzHZZZ3sLAWzsCyKvm9nk4GZcMzPbZQtmiGO6Wt1nz2wScrBnZmajYsEMsWBG60Rnw8xquJ7dzMzMrIm5Zs/MzIZl9dYK3b1BZ7vomuk6A7PJzsGemZk1bPXWCtesrtAquD2Co7twwGc2yfk31MzMGtbdG7QKZreJVqV1M5vcHOyZmVnDOttFf8CmvqA/0rqZTW5uxjUzs4Z1zWzh6C7cZ89sN+Jgz8zMhqVrZgtdMyc6F2bWKP9LZmZmZtbEHOyZmZmZNTEHe2ZmZmZNzMGemTVsbU9w+/p+1vZ4ug0zs92FB2iYWUPW9gRXrepHgljfz7ELW5nf4Wk3zMwmO9fsmVlDunsqSLBnm5DSupmZTX4O9sysIZ0dLUTAxr4gIq2bmdnk52ZcM2vI/A5x7MJWunsqdHa0uAnXzGw34WDPzBo2v0PM72id6GyYmdkwuB3GzMzMrIk52DMzMzNrYg72zMzMzJqYgz0zMzOzJuYBGmZmZk1o9dYK6/qCeW2ia6brdqYyB3tmZmZNZvXWCtesrtAq6I/g6C4c8E1h/uTNzMyazLq+oFUwu020Kq3b1OVgz8zMrMnMaxP9AZv6gv5I6zZ1uRnXzMysyXTNbOHoLtxnzwAHe2ZmZk2pa2YLXTMnOhc2GTjUNzMzM2tirtkzMxtlPduD33ZX6O4JKtvTesc095kys4nhmj0zs1H22+4Ka3uCmdOgv5LWzcwmioM9M7NR1t0T7DENWiRalNbNzCaKgz0zs1HW2SG2bINKBJVI62ZmE8XBnpnZKDuis4X5M8TW7dDaktbNzCaKB2iYmY2yjmni6K5WAJbfhQdnmNmEcrBnZmbjqj+COzdUWNMDCzrg4DkttMoBsdlYcduCmZmNqzs3VLhtfbB1e3Db+hT4TWXre4N7NvazvtcDeWxsuGbPzMzG1ZoemDEN2lsFBGt64FETnakJsr43uGJVPxEg9XP8wlbmtruW00bXpK/Zk3SCpB9IukdSSDqjgWOmS/q4pAckPSRphaQnjkd+bWpb1xvctbGfdf4P3ayuBR3w0Hbo7Q8e2p7Wp6oNvRUiYE67iEjrZqNt0gd7wCzgFuB0YFWDx3wCeC3wRuBJwF3AzyUtHJMcmpECvStX9XPLuvTqgM+s3MFzWjhsrpg5TRw2Vxw8Z3f4Khobc9pbkGBDbyCldbPRNumbcSPiYuBiAEkfGyq9pD2BNwFvj4gf5m2vBu7P25eOWWZtSlvXWyGAOW1iQ1+wrrfCvPbWic6W2aTTKvGoua1Ttum2aG67OH5hKxt6K8xpb3ETro2JSR/sjcATgXbgJ9UNEdEv6WfAkycsV9b05rW3IPrZ0Bcor5uZDWVuu5jrfwxtDCli92lqkrQSODciPjRImlcA3wTaI6KvsP0TwHMi4vCSY94AvAFg7733fuL5559fNw+bN29m1qxZI34PzcRlMaBaFv0B/QGtSstU5XtjgMtigMtigMtigMtiwEjK4sQTT7w+Io4aLE0z1uwNW0R8EfgiwFFHHRWLFy+um3b58uUMtn8qcVkMcFnsyOUxwGUxwGUxwGUxwGUxYKzKohnbmR7Ir7WDMfYu7DMzsylqfW+w0vPa2RTSjMHe9UAv8MzqBkktwNOAFROVKTMzm3jVee1u7k6vDvhsKpj0wZ6kWZKOlHQk0AYszOuH5P0vkHSrpH0BImIj8N/ARySdIulw4DxgBnDOBL0NMzObBNbXzGu33vPa2RSwO/TZOwr4RWH9rXm5HFgMzAEOA6YX0vwL0AecC8wl1fY9PSLcjGtmNoXNbW9B6n94Xru5HjVvU8CkD/YiYjlQd1xjRCwDltVs20aahPn0McyamZntZqrz2q3vrTDX89rZFDHpgz0zM7PR1Ezz2nX3BOv7Ksxta6Gzw4GrlXOwZ2ZmNsHW9ATreirM62hhQYNBW3dPcOVf+vNaP8ft3eqAz0q5s4KZmdkEWtMTXL2qnz9uSK9rexobIby+Lw0umdOmHdbNajnYMzMzm0DreipIsGebkKC7p7GgbW5b+grf0Bc7rI+LrffDg1ekV5v03IxrZmY2geZ1tBDr+9nYF0RAZ0fjQdu+e4AQ+88axz57W++H3y2FyjZomQ5/vRRm7js+17YRcbBnZmY2gRZ0iGMXttLdU6Gzo4X5DQRt3T3Blav6kSAi2H88Hy27ZWUK9PZYlH7estLB3iTnYM/MzGyCze8Q8zsaHyHc3TvQ9LuxL+jurdA5jON3yR6LUo3elpXpdY9F43NdGzEHe2Zm1nRWb62wri+Y1ya6ZjZf9/TO9hYiCk2/4zk59Mx9U9PtlpUp0HOt3qTnYM/MzJrK6q0VrlldoVXQH8HRXTRdwNfZIY5b2Jpq9NonYI69mfs6yNuNONgzM7Omsq4vaBXMbhOb+oJ1fUHXzInO1ejr7ND4Nd3abq25/tUxM7Mpb16b6A/Y1Bf0R1o3m8pcs2dmZk2la2YLR3fR1H32zIbDwZ6ZmTWdrpktTdl0azYS/nfHzMzMrIk52DMzMzNrYg72zMzMzJqYgz0zMzOzJuZgz8zMzKyJOdgzMzObIjb0BX/aVGFDX0x0VmwceeoVMzOzKWBDX3DFA/1UAloEx+/TyhxPOD0luGbPzMxsCtjQG1QC5rSLSqT1yWLTtuD+LRU2bZs8eWomrtkzMzObAua0ixalIK9FaX0yqASseKCf/gq0tsCT92ll9vTJkbdm4WDPzMwAWPNQ0N1bobO9hQUz/GXbbOa0ieP3aWVDbzCnXZOmCbc/oL+Sgs8NvcHGvnCwN8oc7JmZGWseCq5e3Y+ASvRz7N6tDvia0Jy2yRPkVbUq1eht6A1aW2DPSZa/ZuBgz8zM6O6tINIX7ca+VMO3YEbrRGfLpoAWpabbjX3Bnm1yrd4YcLBnZmZ0trdQiX429qVO/J3tHr9n42f2dAd5Y8nBnpmZsWCGOHbvVvfZq7GuN1jXW2FeewvzJsmABrPhcrBnZmZACvjcdDtgXW9wxar+vNbP8QtbHfDZbsn19GZmZiXW9VYAHh7QUF0329042DMzMysxL/dbrD5abF4D/RjX9gS3r+9nbY8nB7bJw824ZmZmJea1i+MXtjbcZ29tT3DVqn4kiPX9HLuwlfkdbva1ieeaPTMzszrmtYuD9mysr153TwUpTV8jpXWzycDBnpmZWR2rt1a4dV0/q7cOHbh1drQQARv7goi0bjYZuBnXzGwK29AXk+7xWZPF6q0VrlldoVVwewRHd0HXzPoB3PwOcezCVrp7KnR2tLgJ1yYNB3tmZlPUhr7gigf6qUR6isHx+7Q64Cvo7g1aBbPbxKa+oLs36Jo5+DHzO8T8Dk9fY5OL65jNJoHhNBWZjZYNvelpGXPaRSXSug3obBf9AZv6gv5I62a7I9fsmU2w4TYVmY2WOe2iRSnIa1FatwFdM1s4uivV8HW2y7+XtttysGc2wUbSVGS2KyKC+7cEa3qCg/YUM6aJue6zV6prZsuk/H1cvbXCur5gXpuDUBuagz2zCdbZLm6PcFORjZv7twQ3rKkwvQW2VeDxCxzo7U5Wb61w7eoKLYJKBH/j1gAbgoM9swnmpiIbb2t6guktsMd0sWVbquHbb9ZE52poEcE9m1J+F3SIA2YLqbEgtZlqwtb1pWb3amvAuj63BtjgHOyZTQKTtanImtOCDnHv5mDLtmBbJa3vDu7ZFNzUXaGjFf68NYAWFu05dN5Xb61w7YMVWoAKwTFdYsGM3eM9l5nXJiq5NaASad1sMA72zMya2PZKcNv6Cmt7YH4HHDa3hX33ENDycA1ZWp/81vQEHa0wY5qAVMO3aM+hj1vXF7QwUBO2trfCghm77/QoXTNb+Jsumqam0saegz0zsyZ22/oKd20MZk6DuzYCVDi8s5X9Zmm3aLotWtChXKMX9PY3XiM5r01UyDVhwPz23T84cmuADYeDPTOzJra2B2ZOg7bWVBu2tmeiczRyB8zesUYyrQ+ta2YLx3SJtb0V5re37NZNuGYj4WDPzKyJze+o1ugFW7fDQQ00e05Wkli0pxpquq21YIZ266Zbs13hYM/MrIkdNjcNS1jbkwK9tG5mU4mDPTObdLZVgt93DwwqOLyzhektbnobiWkt4vBO12gNpbsnWN9XYW5bC52TeHTyut5gXW+Fee0tzPOcnNYgB3tmNqRKBHdvrLCmBxZ0wIF7ttDS4PxmI/H77gr3bQ72mA73bQaocOQCByw2Nrp7giv/0p/X+jlu79ZJGfCt6w2uWDWQz+MXtpYGfM00p6CNDt8FZjakuzdW+P26YGNf8Pt1KfAbS2t7YI/pqVZqj+nQvRsPKrDJb31fup+rTxGpro+X1Vsr3La+n9VbB7/uut4d81ldrz3XNasr3LkhuGZ1ZchzNoN1vcFdG/tZ1xsTnZVJa9BgT9Ipki6V9AdJP5B0QkmaoyX1lx1vZs1hTQ/MaIWOaWJGa1ofS/M7YMu2NEfclm3Q2TG217OpbW5b+irc0Bc7rI+H4QRn89p3zOe8kilk1vUNPGu7VWm9mVVrO29Zl14d8JWre0dLejrwA6ADuBTYD/iFpE+p0efTmFlTWNABD/VDz/bgof60PpYO72xhv1kiQuw3Sxze6UYIGzudHeK4vVt5zDwN2oTbaA3ccAwnOJvXLo5fmPJZrwl3XpvoDx5+1nazP12jkdpOG7zP3geAr0XEq6sbJL0G+CxwkKSXR4QbV8ymgAP3TCM61/TAQR3V9bEzvUUT30cvAiq90NIO/v920ogI/rR54Pm4+89q/Pm4g+nsEJ0d9e+5ag1cq6A/gqO7GJX+cCk4i4aDs3ntYl57/XxWn7XdFH32Nt0Bm+6E2QfD7ENKk6Tazf5Baztt8GDvsaSA72ERcZ6k3wI/Bi6TdMpYZs7MJocWiYPntHLwnInOyTiIgAevgPsuhN5uaO+E/V4Aex3voG8S+NPm4Ka1Fdpa4c9b0vNxG51cebjW9wbreyvMbW/ZoQZuU1+wri9G5QkWYxGcNcXTNTbdATd/eGD9se8rDfiqtZ0eoTy4we6qHmCP2o0RcT1wPLAXcCVw4NhkzcxsAjx4BdxxDiDY44D0esc5abtNuDU9QVsrzJwm2lrT+lhYn/uC3dydXqfBmDWPds1s4bC5rbt3Ldxo23Rnet3jgB3XS8xrFwftWd6sbclgd9ZNwLPLdkTEXaSAbzOwbPSzZWa7g4jg3s0VbljTz72bK0Ts5p2jI1KNXsdCmJYfHDttFnTsnbbv7u+vCSzoEH39sHV70DeM5+MO1/reChEwp11EQGsLHN3VwsFzxNFdLQ7Mxtrsg9Prlnt2XK/hkbiNGawZ97vAeyV1RkR37c6IWC3pqcCFwNPGKoNmNnndtyW4YU2F9ha4d3NqUnvkrN34v+tKb2q6rdYmVE2blb50/u0yowAAIABJREFUKr3Q6qHBE2n/WTs+H3f/Mbrf5ra3IPWzoTeQ0vrcdu3+zaO7i9mHpKbbQfrsNTrvoA0S7EXEOcA5gx0cEVuAZ4x2psxs97CmJ2hvgZnTBdtSp/lHzproXO2ClvbUR2/7FphW6MWyfXPa3tI+cXkzID0f94DZ4oDZY3udubkvWLXP3lwHEeNv9iF1B2bAjiNxN/RVnyziydfLuB7azEZsQYforcDWbUFvZeya1MaNlAZj9KxKAR6k157VabsHaEwpc9vFoj1bHehNUrXzDrZIbtKtw49LM7MR22+PHZvU0vpubq/j0+t9F6am2/ZOOOQNA9ttWLp7gu7eCp2eEsNGWXEkbovEzd3VOfbcpFvLwZ6ZjZgkHjlLu3fTbS0Jup6cgjvPs7dLap85O2OKV7gUn1lro6M67+BdG9N95ibdcg72zMzKSB6MsYu6a/pUbZ/CDzdYvbXCtasrtAgqEXRM4bIYC55ceXAO9v4/e3ceH9ddHfz/c+6dfbSNJGtxbCe2s+8bJisJSUjSBApl6dMNStpCoS0UaFqg9KFAn0ApZWnprwstD9tTCrSlLU3ShCRkc5yVxFnsbF5wvGkfbSPNdu/5/XFHsixb8jie0TJz3nkpV/feuZoz1yPp6LucrzHGmKponfULOLTMfv+mc1qxYr3pvOLMKMrs1XkrZ6VZceX5lfWtJyI/EZFT5zh3soj8pLJhGWOMWe6m1pw9tSXYusvo9+9UWY+t6WB7rIP+UxHBLxVl9pVldS9mG8oGte2GqlTQ+tWy4spzK7dl70qgaY5zTcDrKhKNMcaYmnKkNWeXqkqX9ehIOGyYsSza1p9VKNAFNnsc5iWdLq3LfRZ+HTiaRvVDUngRiQBXAT0Vi8gYY4xZZLPLelRiDNirWRZtqa0QMZw/kATP3DdL25wteyLyp8AnS7sKPCJzz0j7QoXjMsYYYxbNUhgDthRXiGiJHDwOM9g3S9183bi3AwOAAH8NfBH42azH5IEXVPXBqkRnjDHGLJKpsh6LZSmuEDE1DnM479MScawLd5mYb7m0x4HHAURkDLhNVQcWKjBjjDGmni3VciLLdRxmPStrgoaqfqvagRhjjDHmgKXQlWxqQ1nJnoiEgd8H3gqsAg6pNKqqHZUNzRhjjKlvi92VbGpDuaVXvgz8NnArcC/BWD1jjDHGGLPElZvsvQP4mKp+sZrBGGOMMcYshEqukLLUlZvsCfBMNQMxxhhjjFkIS7GsTTWVO7XnH4FfrmYgxhhjjDELYWZZm5n7tarclr1e4FdF5F7gLmB41nlV1b+raGTGGGOMMVWwVMvaVEu5yd5XSts1wBWHOa+AJXvGmNqnCv0bYfR5aDoNVlwGc68uZEzNyRSU0bzSFBGS4eX53q+3sjbl1tmr7ZTXGGPK1b8Rtv0DhJqgr7R4UMflixuTMQskU1Ae3O9R9CHkwOXdblUSvoWYPFFPZW0siTPGmKMx+nyQ6MU6INQY7BtTJ0bzStGH5qhQ9IP9SpuaPLE1HWzTuco/R70pO9kTkQ4R+byI3CMiL4nIGaXjvy8iF1cvRGOMWUKaToPiGGT7gm3TaYsdkTELpikihBwYySkhJ9ivtHqbPLEQyl1BYwPBxIx+4H7gSiBaOt0N/AHw9irEZ4wxS8uKy4LtzDF7xtSJZFi4vNut6pi9eps8sRCOZgWNewmWS3OAm2acewz4lQrHZYwxS5NIMEbPxumZOpUMV3diRr1NnlgI5SZ75wNvVlVf5JBpZ4OArYtrjDHGlMlT2DHqWTIzh3qaPLEQym0bHQFWzHFuHUEdPmOMMcYcQTqnjBewCQhmwZSb7P0I+LSIrJtxTEWkHbgZ+GHFIzPGGGNqkE1AMAut3GTvo8AosBV4oHTs74EXgUngk5UPzRhjjKk9UxMOZk9AUFV2jfk82e+xa8xHtXotfr4q20c8Hu312D7i4VfxucziK7eoclpELgLeCVwNZIAh4J+Ab6tqrnohGmOMMbUjFRUawrA2JQeN2XtlXHlm0Cfiwt6MAg7HN1ZnPN/OUZ+taSXmQt8kgM/6ZhsjV6vKnaCBquaBr5c+jDF1TFXZP6EMZpW2mNCdEA6du2UqTVXxFFzB7vcy5wqsazo4uRrMKhEXEiEBgu+v4xsr+7xTK1O8Mh4kerHScw1kYX1zZZ/LLB1lJ3tTRMTlQI29aao6UZGIjDFL3v4J5Yl+n7ADO8eUC1c4rExa8lFN4wXliT6f8aLSEBIu7HBoWKbrkprDa4tJqUVPyXvQHqvsv+/UyhQA4/mgKDJA1oN1sYo+lVliyi2q3AR8lqDOXgdwuHegtf8as0yMF5Sdoz7pPKSisLbx6BKHwawSdqAhLIwXlKGssjJZxYDrnGqQ6GU9pTkiZEqJ3xUrHWvhqyFrGgRwGMwq7TFhdUOlk70DE0NUldYohBxhXQzWNlnh4lpWbsvePwBvJBijtxXIVy0iY0xVjReUjfs9fIWoC7vHYO+4x2XdbtkJX1tM2DmmjBeUgg+tFW6BMAfzFMaLOj17MxkWRvJBl27Ibn3NEBGOb5SKdt36GvxhN5CFmKugwcQQEeH0Vtdq/NWJcpO964APq+o/VTMYY0z17Rz18RUaS4lDxIWxvLJzzOes1vIa6LsTwoUrHIaySmtpzJ6pHlegIRS06CXDwbYhJLh1ftt7J3yGckprVOhMWMvU4ewc9dmSVuIu9HpwfEPwvV/vxZz7JnzSeSUVETrq4L1T7ivMAHuqGchcROQGEdksIjkR+ZmIfKSMa+4TEZ31sSjxG7PUpPNBi95MUReGj2JOvYiwMulwZpvLyqR1JVabSDBGL+YGLXoxN9iv5/veO+HzWJ/PzlHlsT6f3gmrVXc4A1mIlyZixF3IesK6pvpu0eub8Hm0z2f7iPJon09fHbx3yk32vgj8jogsaPorIhcC/wX8D3Au8CngsyLyvjIu/y7QPePjvCqFacwxy3lK/6SS86pf6yoVgZw3+/mh5ZBpV2YpaQgLV6x0uH61yxUrbXLGUE5xJWilciXYN4dqj8GkB9miMukF+/UunT/4vZPO1/57p9xu3OOAc4AXReReYHjWeVXVj1Y0ssBHgMdV9eOl/edF5AzgYwRFneczqao9VYjJmIrKecqD+31ynhJ1hcu7HaJV7J9b2+SwN+MxlleibpDoOQLrGmu/K2O5ExEbo1fSGhW2qTKWV3wN9s2hgokXwZg9m4gRSEUEr/Te8TTYr3VSToVuEdl5hIeoqq47wmOOmojsAr6uqp+Zcexq4G5gtaoetmtWRO4DzgJ8IA1sAj6pqq/M8fj3Au8F6OzsvOB73/venDGNj4/T0NDwql5PrbF7ccCx3IuiQqYQjMvyFJLh6g+69xVyPng+uA5EnSDhq5Sl9t4o+EzXpwsv8O+6pXYvFlOl70XRD75/QsJ0GZHlwt4XByzGvSjO+JmwlN47r+ZevP71r/+pql4432PKXUFj7VE9c+V0A7Nb53pmnJtrHN6/AH8BvAIcT7Cc2xMicvbhWvtU9WvA1wAuvPBCvfLKK+cM6L777mO+8/XE7sUBx3IvZrbsJRegZW8hLKX3xv6MzxP9PiEHsj6cucKhO7lwP92X0r1YbHYvDrB7cYDdiwOqdS+OuqjycqCq/zBj9zkR2QTsBH6DoF6gMUvGVNftaB6aIiz7RG+pGcwGxWOnagIOZpVuqwlojKkjZf95KyLrROTvRORZEdlb2v6tiFS8+3aG/UDXrGOdM86VRVXTwPPACZUJy5jKirrCirhYolcFbTGh6Af1BYt+sL9YCr6yecDjnj0emwc8Cn7tDww3xiy+spI9EbkA2Ay8DXgc+HZp+zbgKRE5v0rxPURQ42+m64Fdc43XOxwRaQBOBnZXMDZjzDLQVaoJuDoZbLsWsSbgliGfPeOKI8qecWXLUO2XfDDGLL5yu3H/EngK+LmZa+CKSAK4vXT+qsqHx5eBTSJyC/Ad4LXAB4APz4hhA0Hy+S5VfUxE1gPvAm4DegnG7H2KYIm3b1QhRmPMEiYidCdlSXTdDmZLE3AcIRlWhrKLHZExx2Y4p4zkfJqjDi02I3rJKrcbdwPwFzMTPYDS/l8SJGEVp6qPA28hWKrtaeAzwCdUdWbZlQRwSmkLwVJuryNI9l4mSBL3AxuOpjXQGGMqwVfYm/EZLyhtsWDmddFXMgVordOaZ6pKwVfKqQZhlq7hnPJQj8ezQ8F22GodLlnltuxNAm1znGsFqvb3qareRpC4zXX+PoJWu6n93cDrqxWPMcaUa7ygjBdg84CPI3BRZ/D39VAWVjXAGa1LqObDAnm8z2Nr2scFupPChg53euk+c2yGsspw3qcl4izIetUjOR9VaI4KI6UWvpbZy/OYJaHcZO824M9FZIeqbpw6KCKXAZ8D/rsawRljzHI2klcUaIoIo3llogjnttfvL8OsBy+XEt8i0DepPNHvc+XK2ln6TVXZm1EGskp7TDguKQvy2oayyqbeqaVxPC7pdKue8DVHHUQ8RnKKSLBvlqZyk72PECxbdr+I9AF9QEfp42HgD6oTnjHGLF/NEUGA0bziSLBfzwp+0A0Tc4OCtp4PE0WlqFArq7/tzShPDfiEHdg9roDDqobqv7jhfDDZpzkSrJ88nPdpjVX3D4uWqHBpl3tUY/bSOSWd80lFnbpen3ehlVtUeRC4TESuB15DUNB4P/Coqv64ivEZY8yy1RAWGsJwSrtDc0Tqfj3bsANK0MIHkAhBIlRbS8ANZJWwA8mwkCkELXyrFmBxiJaIA3iMlNZ5DfYX4HmjUnbXbbo0xi/gcWmXawnfAjmqosqqegdwR5ViMcaYmuMIHLeAK3YsZTEXzmt32FIas9cRD8rh1EoXLkB7TNg9rmQKSsEP9hdCa0y4pNNd0DF7RyudO7j1MWjhq99hDQvpqJI9EbmWYGbuzJa9u6oRmDHGmMpRVXaPByuItMWE1Q0LM5Zstgs7XC5Y4UyvaVtLiR7AcUkBnIPG7C2U1phUvev2WKSiB7c+pmyM34IpK9kTkZXAfxB04c4cs/cZEXkC+AVV3Vu1KI0xxhyT3ePK04M+ERf2ZIKxZGsaFyfREpGaGaM3m4iwqkEWpOt2uUmVxvjZmL2FV25a/TWC1rzLVLVLVc9W1S7gcoLlzP5h3quNMcYsqsGsEnGDMXIRN9g3ZqGlosK6Jhurt9DKTfauAv5IVTfNPKiqDwEfw+raGWPMktYWE/JeMPs17y3uGsHGmIVV7pi9XoLCyoczCQxUJhxjjDHVsLohGEs2c8yeqV99Ez5DOaU1KnQkbOxcrSs32fsspfF5M8fmicgqgnVnb6lCbMYYYypERFjTKKxpXOxIzGLrm/B5tM9HVcl6cFGHsqZp6U7sMMeu3GTvWoLl0naIyJMcmKBxPtAPXCMi15Qeq6r6vyoeqTHGGHMMBiaVoZxPa9ShPV6/LZtDuWBd4qEc5DzY1OvTnnBIvIqCh6N5ZSSvNEeEpjovGr6UlZvstQMvlz4AmgjWw50aw7eiwnEZY0xVqCp9kwdKkHTEF6cEiTnYYFYZyvq0xpyqjCccmFQe6fMQwFePizvduk34WqNC1gsSvZATfIzmgyLXR2M0r2zc7+ETTAC4rNu1hG+JKncFDZuAYYypCX2TymN9Pq4D20eVDR0OnQn7BbWYBrPKwz0eIqDDHhd3uRVP+IZyPsKBdYqHcj7t8frsuuxIOFzUoWzq9Qk50BgWmiJH/3VG8orPgSLJI3m1ZG+JOso83lSC+krP0z3svHsnYz1jNHY1svaatXSd04U49o1iTDUNZhW39AturBC08HUmFj6GdNYnVaVWrOVmKOsjMiMRy/q0Vbg4cGvUwVeP0bzia7Bfz9Y0ubQnHEbz0BThVXXhNkcEhyDpc7C1n5eyspO9UmHlNwHHAbHZ51X1jyoYV21SRccm2HvXC0zsHSYVdXBaIwy9MszDX36YtVeu5dx3n2sJnzFV1BYTto8qYwXF8xe+BMlCtGItN60xBx0OEjHVYL/S2uPCxZ2ujdmbIRGSo+66nakpIlzW7dqYvWWg3BU0fgn4FiAEEzLysx6igCV781GF3kEmt/eS6x0l2hzDDQmpTqG5NUTP/jg779tJ9/nddJ3btdjRGlOzOuLChg7noDF7Cyk9qxUrXYVWrOWmLSZc3OVWdcweBAlfvXbdVkuTJXnLQrk5/S3AvwPvU9XRKsZTuzKTkB5lcNc4vjj4PkwOZMkOZ0k0uIy+kKbgCdvu3GbJnjFVJCJ0JmTBu26npGa1YqWq0Iq1HLXFpO6TXmOqpdyfMm3A1y3ROwbpUQi55MZzOCGHsX1jjO0bwy/4FItK5/FxBl4YYPud2/GL/mJHa8ziKIxBZlewrVFTrVinNIt14ZrDSueUHaMe6ZwtaWcqo9yWvR8CVwL3VC+UGpcvgOMQbYgysmeE3GiOUDyEIHgFpSEVIZwIkx3Osvexvay+ZPViR2zMwhp6El7+O1AfxIGT3g+t5y92VFVhrVhLRzqnDOd8WqLOklivNZ1THurxSnsel3bZOrLm2JWb7P0e8HUR+SfgJ8Dw7Aeo6u2VDKzmRMKQzdGytoWep3twwg5C8A2cbArjhoULr+3CScbo2biT1RevAqv9ZepFYSxI9MIpCCWgOAEv/z2c/0UI25IPpjrSOWVTj4cCgscli51Y+UXSex6BsSTN8Sgj0ZNI53xSUfvDwBybcpO9k4ENwFrgNw5zXgF7N84n1QS7e2joTBKOhylMFkChdWWc1s4Ywz0TrDqliYa2KKqgL7+CrF8Frt1WUwfyQ0GLXqg0kC6UgPxgcNySPVMlwzkf5UCduOHFTqz23Uaq7wGIvI2R0WFIxkl1n7B48ZiaUW6y9w1gFLgR2Mahs3HNkSTjkGpC0qO0n9jC+OAkLS0urV0xRISGlhZ8VbyiDz74e/pxcjnkjBPBsQHcpsZFWoOu2+LEgZY9cYPjxlRJS9RB8BjJK1LaX1QjW0mFPS4NPU66ECLlv0gq+r7FjamOpXNaalldGl38x+JoWvbeqqp3VjOYmiYCnW3QkCDZlyUZ80k2uIgrhFwHVXBFEAHfU7xCEYZGcfvTwXXG1LJwYzBG7+W/D1r0xIWT3meteqaqUlHhki536YzZaz4jSPiAVH4Qut6xuPHUsVobO1lusvcYsKaagdQFEWhI0HxyB+PpNLkJj2SLiyqAgoLjOvieh4jg5X3c3kFL9kx9aD0/GKOXHwpa9CzRMwsgFZWlMyZu5Q3BdmQrdF11YN8suHQuqIox1cW/3MdOlpvsfQT4pohMMvcEjYlKBlbLnIE0ufEiiaYwQZ1qDRZiL/3REI4GCaD6ChOT4PvWlWvqQ7jRkjxTv5wQrPr54MMsqlTUgVIX/4H95avcZO+npe235nnM8k15F5IqZCYoTBTQhhCK4hxmeTQREFcgV4CHNsOqLljTaRM2jDHGmCpLRYVLu9y6G7P3GwQzbs2xGs2AD+F4iGLOQ/0QHGktXN+HV/bB8AicfbIlfMYYY0yVLaku/mNUVrKnqt+schz1Iz0KDXGSqQlGeiZoWhGjVOTpyMYnYG8/rLHl1IwxpppqaSamMeW27AEgIiuBi4FWYAh4WFX3VSOwmlUoQCJGdEWSxqI/b5Inhyuq3GPJnjHGVFOtzcQ0pqxkT0Rc4KvAezh4bJ4nIl8DPqCqtqBrOcJhKBZwm5LE8wU074EEPeSzkztVPfiYr1AsLmS0xhhTd2ptJqYx5U4v+TTBuL0/Bk4A4qXtH5eOf6ryodWoVBMUPMgVcEMuTshBHDl8Kx5BwncQ34ZOGmNMNU3NvKyVmZjGlNuN+y7gT1T1L2ccewX4gogo8EHgk5UOriY1JWE8CXsz4Pv4nn/Y2bgzaWlMn0zvGGOMqZZam4lpTLnJXgfwzBznnimdN+UQgZUdMD4JQyMIpW7ZeSdpBAWXVQTxNUj45mgJNMYYc+xqaSamMeW2Tb8E/NIc534JeLEy4dQJEehuh2QcBXxfmVpE47B0xlYExjILEaUxxhhjakC5LXv/B/ieiKwB/g3oJWjNewfweuZOBM1cGpPQ3oL2DgXr4oacoOXuMA9VFCmttAECz++AE46DFSlbWcMYY4wx8yorU1DVHwDXA0ngr4B/B/4aSADXq+q/Vi3CWiUCnW3s2znJxGhhenk0nTUBY/YQPVWFfAF27oWXdgUFl40xxhhj5lB2s5Cq/lhVLyaYidsFxFX1ElW9q2rR1brRDCvO7ODZH+9huGeiNPNWggRPg8RudvkVgWBGrioMj0H/IcsUG2OMMcZMmzfZE5GzRGTVzGOq6qtqn6r6InKciJxV3RBr2NAI8c5GQisaufNvt1LM+9MJnu8rvqc4B03EkAPD+jwPUOgdWPi4jTHLgqrSO+HzfNqjd8I/tJSTMaYuzJnsicjbgMeAlnmuTwGPisibKx1YzVOFQhEchwt/7QzC8TCj/ZOM9E6QHS3gFXxEZNacjaBFr1hU/KKP+j7krciyMebw+iaVx/p8do4F275JS/aMqUfztey9F/i/qvrcXA8onfs68L5KB1bzRCAcAt8nJMovfOI8ovEQKAz3TjK0N4Pv+YetsOK6gK8UJ4r4IZugYYw5vKGc4jrQGBZcJ9g3xtSf+WbjvoZgEsaR3AF8uzLh1JnWZugZgGyOUCxEc2fioNN68P8OIg64ohTSGaI/2wttKWiIW/09Y8y01qiwbUQZKyieH+wbY+rPfMleAhgt42uMlh5rjlZzQ1Azb3T8sMugBcVW5v5LXERwil6QMPanoTEBa7ohHrOkz9ScQ9aKNkfUERc2dDgM5ZTWqNARt/tnTD2aL9nbA5wGPHiEr3E6sLdiEdUTx4FVnTA+EcysnWW+DpepcdauC5orIHEXRsZh+56gYHNbiyV8piZMFpWnBnzSOSUVFc5rd4iH7L1dDhGhMyF02p/jxtS1+QZ83Qr8gYgk53qAiDQAHwb+u9KB1Q3HCZZPS8bBPfifY65fZzMn1KmWCjF7RQiFglm6A8OQzVUrYmMW1FMDPiM5pTEMI7kg8TPGGFO++ZK9zwINwCYRuUFEolMnRCQiIj9H0OrXAHyuumHWuKZkMH6vnNUwDkr0gsY73/MpZvKM7BwivW2Qsd5x/KFyeuCNWdpUlXROSYaDVqpkGNI5tRIixhhzFObMLlS1D7gKKBC08o2JyF4R2QOMAbcBReCq0mPNq+U4cFwHrO469JwIvqel+nszlsmdqrxMqaVPFTcshFxl8Nke9j74M3zPWkDM8iYipKJCphC858cLwQL1NnbPGGPKN+/auKr6InChiLwOeB1wXOnUXuA+Vd1Y5fjqx1TCt3t/MFnDccDzEd/HCTn4RR9xdHp1DST4RTi1vJpXDNbPHR/J09gaYdeWXmTdPlZtWDXv0xqz1J3X7hwyZs8YY0z55k32pqjqA8ADVY7FOA7EokGhZM8r9dMGY/fcUj29Up6HV/BRpzRXV5VMOsfg7gyT4wWaVsQY75lg7M7tluyZZS8eEi7pcm02rqkJg1klnfXxbCSCWUBlJXumOpSgNe4gHW2wpzf4XKSU3Qlo0CUrpf/lJou4YcFxHQZ3ZxjYNY4bFuKNYV7a1MuuzUOMje9l7TVrWbVhFY5rrSFmebNEzyx3g1nl4R4PESgWgv22mL2vTfVZsrfAcuTYyEbu5E766WcFK7iO67iMy4gSha426B+E0fyBi0otfIhANAKFImODWYp5n/0vj5IZytHYHmOiN0fv9jEmR/M4YSHTn+HW376VDb+zgfPfc74lfMYYs4jS2WBVpKaIMFTab4u5ix2WqQOW7C2gHDm+wlfYwhY66GA1qxlhhH/kH3mcx/mwfohozwhEIsDEwRc7DsSjQWE9x2WwJ4cWPLY92s/4UJZQxJmevRFrCNO/K0O0Mcpk/yQv/NcLdF/QzXGvOe6QmIxZMjK7YM+tkNkByXWw6o2QPH6xozKmYlIxBx32GM3r9L4xC8GSvQW0kY1sYQurWMVWtvIADzDKKD4+/86/s3v0Bf5i7GaS8ZagBc/zwCk18asGEzdEQX1OvmIVT/7PbkBRXxnrz+J7SjjmkhnOkc/7hBJhUMgOZ9lx1w5L9szSldkFz/4ZSAgiLTD8LKSfgrP+tyV8pma0xYSLu1zSWZ9dYawL1ywY+7NiAd3JnTTRxH/wH/yIH5EmjY+Pg4OHR0c6yvfC/8aojEE4FLTmzVxGLZ+HySzkC4TU47wbj2cyU2Rob4Zi3qNY8BnumSTdkwVHUE8JxUJ4eY9Mb2bxXrgxR7Ln1iDRi3eBGwu2EgqOG1ND2mLCiS0uruV5ZgHN2bInIjcczRdS1duPPZzapSg99LCZzWxnO4ri4EyfE4TOfCv9oUHukrt5W/wG8H3AhUIRih4gEA0Fn4swtD1NrCGCGw4xOV4AEZywiwCFiQLEIbEigRtxSXbOuRCKMYsvsyNo0Zsp0gKZnYsTzxIwlFXSeZ9UxKHVWoCMMcdgvm7cWzlQ6eNIFLBRpvMQhEkm2c1uChRwcKZn4mrpv77IEKliE9ud7fixCE6+ECR6ITdI/Fz3wLIZsQg7nhqksT1G27pG9j07hFcoIo6ACIIgblCHL9YSY90b1i3yHTBmHsl1QddtfEZh8fwwtJy1eDEtoqGssqnXK+15XNLpvqqEbySvjOSU5qjQHLGE0Zh6NV837lpgXWl7pA/LJMrg4eEzVULlwA/eqWTvjtQjtBaayGqWl5yXKTbFgjVz88XggSIgTjCeT4TMQJZIMkQiGSaSCAerbRQVv+DjFT0m05Oor5z8ppPpPr97MV6yMeVZ9UbQIkz2gJcNtloMjtehdD74OTGVoE3tH42RvPLQfo9nBn0e2u8xkrfCbsbUqzlb9lR110IGUut8fJIkaaRxelKGINOJHsBjTVu4YOxULh47i53hbQw4/bwmfD6RkIPEY9AQh/QYlEqoJNtj7H12kPSecdrWNjG8d5z+B1AiAAAgAElEQVSJoWwwl8MPvv7o7lHu//T9PPvPz3LWL5/Feb95HuF4eDFvhTGHSh4fTMbYc2vQddtyVl3Pxk1FHOBAghbsH52RnOIrNEeFkVypha/SrXvZAcgPQaQVYu2V/drGmIo5qtm4IhIC1gCx2edUdWulgqpFDg4ddHABF5AmzQQThxRU9sXna8f9JwOjk1yXvoh9+T08Gn6UZ9Zv52RO5ncn3k2LI6Xl1IR1Gzp57vZdSMihkC3iFXyS7XHUdcj0ZqaXUkMhM5Dh4S89zM6f7OSt//xWS/jM0pM8Hk753cWOYklojQmXdLrHNGavOSo4EiR9jgT7FdX3IOz45oH9de+Gjssr+xzGmIooK9kTkTDw18CvA9E5HmZj9o7gOq5jH/s4i7N4kicpEnTPzmzhi0qUTc1Pc0fzg0SJ4uLSVVjBRv8p7ks+yr9m/4qWsTA4ITpObKahLcrQ3gmymRwi4HtKbjSL+sFMXHEEN+zi532aVjfRs7mHp77xFBt+Z8Mi3w1jzHxaY0LrMRTcbY4Il3a71Rmzlx0IEr1oB7hR8HLBftNp1sJXA9I5JZ3zSUUdUpX+I8EsinL7Bj4JvBH4TYIJG78H3ATcA/wMeFM1gqs1V3AFZ3M2a1nL1VxNM83TSZ6Dw2mcxpmcyQgjJEkyyij72c/m0LO8Et7Hw9En+FzbP0AoBPkiUiiy7uJuOk5pxZFg6bRwMgIKbjT4JeGEHMQV/IKP4zhEW6Js+Zcti3wnjDELoTkirGl0Kt99mx8Ktm704O3UcbNspXPKQz0eW9PBNp2zsZ61oNxk7xeBTwE/KO0/pqrfVtVrgY3Am6sQW82JEuXDfJibuInTOZ0382bO5Vzewlu4mZu5gAt4mqfJkWMf+5hkEkVxxQURJsnxldav05cYC1bTiMdYd9kq3IhLal2KxuNbaFrdjPoazMpVCMVCqKc44eCfOhwPMzE4cYRIjTFmHpHWYOvlDt5OHTfLVjo3a3JQ7ugnB5mlp9wxe6uBl1TVE5EskJpx7p+B7wK/XengalGMGNeW/vPxuYu7+Dbf5kmepIcePDyKFKcnbYT8EFeOXMD1QxfTWmiiP5TmG+3/yUebPwOOQ/sZyikTEZ761mbGtqWDJM8Bv+ATaYgErXo5n0RnAoDCZIFEW2Ixb4ExBuib8EnnlVRE6Egss/r2sfZgjN5BY/Zusi7cGpCKzpocFF1m701zWOUme/uBqYqnO4HXAXeX9tdXOqh64eBwBVfwfb7PdrbTSScuLjmCv5JFhZMn1nD+6MmAsjvaS8KPcXxvE/54L6Or4jQ5zZz+i2fQfsYKHvw/D9K3pY+m7kbGesZxwg5+zifaHCXaGMX3fXLDOc7/rfPxiz57Ht3D9ju3k+nLkOxIsv669ax67SqckH1zG1NNfRM+j/b5uAKeKq/tYPklfB2XB2P0bDZuTUlFhUu7XBuzV2PKTfbuAy4H/hv4R+ALInIikAP+F/AvVYmuDsSI0UIL53Eee9hz0Azd47PdrMl28mDzZq4bvhhFGXcnua3lQb4V/hFPFl6iJzpAl9/Fbd3/wls/fSH7n+nn5Qf38fSPdjA5kiPRkSDeFic3liM3nKPrvC7Oeec5bPrSJjZ/czOje0aD8Xxhhy3/toVz330ul3zkEkv4jKmidF5xBRojwlheSeeVjuXY4B5rtySvBqWiQipqcy5rSbnJ3ieAdgBV/YqICPB2IA58FfhMdcKrfYqSJs2ZnEmSJBkybCGYQHHi5CoKTpEJNztdkPmRpufoCw/RUmzgjMxaeiID9EgPG1JXs2n8Pxi5PMMdb7iXwY8P0vXPa4j85yqyQ1mSbUnO/63zOe+m89j14C42fm4jhUwBJ+TghBy0qKS3pdn4uY10ndvFideeuMh3xpjalYoInipjecXTYN8YY6qlrGRPVXuAnhn7Xwa+XK2g6okgrGAFGTJsYxtNNLGCFfRrPwk/Rn8oTcKLIQivRHuCRM9rRBCSfnzqi+CpzzUrf4Wfz15Ht7+C4+NrmHj3OJt/73FOj53Le3gP0VLVnHs/dS/5TJ5QLITjlFrwXJCQkM/kufdT91qyZ0wVdSQcXtvB8h2zZ4xZVo7qJ4yItIjIZSLyDhG5VERajnyVOZLruI5eesmQIUyYdtpxxGHCmSTnFDhxcjUA2+J7SPpxBCGiISacLFBaek1gzM3gekpMY4AQd5KcMNHFVt3Kgzw4/Xz9z/TjuM6BRK/EcRwc16H/mf4Fe+3G1KuOhMMpLa4lesaYqivrp4yIhETk88Ae4AHg+8CDwB4R+YtS0WXzKl3O5ZzN2RQokCHDCCO0085Lyd2cNLmKNdlOACbcLGENgULSi7Mtvqf0FUp1kARGGeUVXmEb23jJeZl9/h7GGedWbp1+Pt/zEffw3UbiCr5nU+2NMcaYWlHumL0vAe8lGJv3Q6AP6ADeBvwJwfJpH6xGgPUgQoTf5/cRhG/wDSaZJEmS1nAbp+TWc1Z2PX2RIWJehGF3lEknz/OJnfSF08B0qgeAh0c//bTRRtSP4DnKNraxgx1MMEGCBNHmKNl0Fsd1CIZfBnzfx8t5hGIh7v7o3SS7k6y7eh0dZ3Yc9DhjjDHGLB/l9h+8E/hjVf2sqr6gqkOl7S0Eyd47qxdifYgQ4QN8gHfxLjpL/zU5zXxz1W18t+tOFCHqR9gd7aMnMkhfJH3wv55CxAvj4eHg4OPjeDAcm6BBGihQ4Cf8BIBzfu0cALyCh/qKquJ7PsVsEfWU1vWtqCpDLw+x6QubeOb/PYOqVVE3xhhjlqNyW/Z8YK41tp7j4MYl8ypFifIhPoSifIfvUKRI0mlkc2oHL6T28aK+iC8zulj14K2Pz+1NpbF5UjoukCLFFVzBj/kxN3IjV3zqCnbcvYOBFwfwCh44oEVFPSWxIsFJN5yEG3EJJ8LEmmM8/v89zqN/9SjFbJFEe4Izf/lMzn33uQt4Z4wxxhjzapWb7H0H+C3gzsOcew/w/yoWUZ2bSvh8fJ7nedpp50me5HEeR0WJaJhkIUbBKZKVPJ540zlf0fUO/mISfKRJ8xiPESdOkSLRhig3bbyJ+//sfrZ8fwv50TwaUVpOaOGknwsSPQC/6PPCf73AyO4Roo1RWk5oITuSZePnN7Ljnh10vL9jQe+NMcYYY45eucneLuBtIrIF+BEHxuy9GWgEvigiv1N6rKrq31U80joSI8ZH+Aj3cz93cicODoLQpI2cO3ISK4opXons5/n4TgpSpOh4FOUwid4M+9jHdrbjEiRy0YYo137+Wq79/LUA3P3Ru1HV6UQPoGdzD2P7xog2RXEcBzfs4ja7RBoj7HtiHw2DDVW9D8YYY4w5duUme18sbY8DTjvM+S/N+FwBS/aOUYwY13Ed13ItH+SDTDJJczbGimKStDvG3mg/nvj4ogcnevPMo3iMx7iUS7mZm7mRG4kRmz6X7E4y9PIQ4cSBidV9z/URiobAByfmoKoUMgUm05MUxguM94zT83QPnWd1BmvyGmOMMWbJKWuChqo6R/Fha6xUUJEi44xzKqciBZ+QEyUhCUbccVwEb3aL3hE8zuN8gA9wC7eQ1cnp4+uuXkd+LI/6B4ZfFiYKSCgoxRJriZHpzTCye4Rithisu1v0efiLD/P0d54+6DpjjDHGLB3ltuyZRRIiRCONRDVC6yQ8l9hG1A8jCEXx8GfPjSlNypiLpx7D/hD7hrYyOPhTjgsfD63NdJzezro3rGPHXTuINEaIJCM4IYfCRIGGjgZQmExPEoqF8H2fyYFJ1FOe/e6zbPn+Fl6+/WXe8q23EI5ZyUVTJRP7YOChYJtYCe2XBltjjDHzmjPZE5HTge2qmit9Pi9V3VrRyAwQrI5xHdfxA/kBvzl+LWuLa7g9eS9xP8pQKEvED+E7fmntXA7Mwp36fCYF8YPWwh+0/A89oX5uyvwSb+q5iuhYM2f/ypl0ndvFjnt2kOnJsObSNbzy8CvEV8QZ3zeOE3LwfZ/xfePB/OzSc3gFj63/upX9T+7n/c++3xI+U3m998OOb4K44CZg+FnYezusezd0XrHY0RljzJI2X8vec8BFwGPMX15lKr2w7tsquYqreJIneSS1lav6ziWchzMnT+JvV3yPhBdBPRgJjePP7tI9TCufChTw8Nwsz8Vf5pbI3/BA7DG+0P8xoqNJOs/qpPOsYMWOYq7ID9/5Q/Y9sY/CeAEn7DA5MHlQoue4Duoo6ivDO4f58R/+mBu/emPV74mpIxP7gkQv1gVutHSwFbxccLzxJGvhM8aYecw3Zu/1wNYZn181x8fUOVMlceLczM2c3XIp+xJDdOVSnDZxAqdOHE93vp2oRmj0EuV9sVI5FkUpSpG+0AA/Sv6YbzT+gOLQ4EEPDUVDvPU7b+Xyj19OtDFKcbKIl/OCJC8SvHVUg0QPDT5/+v8+Te+zvVaE2VTOwEOlFr3owcfdKIgTnDfGGDOnOVv2VPX+w31uFkecONc7N6CrPB4ZvptIehe/1nMDP4vv4+mGl8i4k/wssp90ZBQAT2atbzt7aJ9AT3iQpB8nLjG+3fTvXLLvHE7RbqJyYJZuKBrigvdcwHEbjuPhLz7Ms999FoTp5dN8zwc/WFMXgUKuwKYvbGLdG9Zx9q+dbcusmWM3sS/ouj0cNwGT+xc2HmOMWWbKmo0rIleLyLvnOPduEXl9RaMycxLH5dzW1/HI+j00aoK2YjNXjlzAjUOXsbrQQWu+aWr03qwLDz2kooy5EwyFhtkX7mdPuIcH5MHDPm/nWZ2svXpt0G3r6YGWOx9wCEqv+BCKhGg5oYUdd+2g77m+yr1wU78SK8GbOPw5bwLi3QsbjzHGLDPlro17C9A5x7l24LOVCceUI06cj/NxhsKjJL04UsrkGrwkGWdi3tm4MyngIBTFJx0aY3frKHdwB3qY4ZniCOe88xxOecspwbWlrltxBcd1pr/gijNXII4QaYyw454dlXi5pt61XwrqBWP0ZvJyoH5w3hhjzJzKTfbOAJ6Y49xTwBFn65rKihNnIJWjo9BKWMOECHHi5GomQvmj+jpTid2EM8mm5me5kzu5iZu4mZu5h3vIceAXrDjCW771FlLrU9PdworiF338QlCLb/216wGIJCNkejKVebGmviVWBrNusz0wsRtyg8E22xMct8kZpoalc8rOUY90zsZBm1ev3Dp7RaB1jnNtFYrFHKUPNn+Cr43/GSeNr2YwPMwJeoTurJllWUqm19UVj3ud+2ijjeM5ngwZvsW3eIIn+BAfIkowOD4cC/P+Z9/Pj//wx4w5Y6DBuL4VZ65g/bXrcUPBpOx8Jk/rSXO9ZYw5Sp1XBLNuBx4KxujFu63Onql56ZyyqccrFVbwuKTLJRW1cdDm6JWb7G0E/lBE/ktVp5uORCQC/AFw+IFepqpWOat5z3F/wl+PfpbOoRjH5TtwkAOFlg/3M2HmsZmlWQRGGaWddnx8GmggSZItbGEjG7maq6cvC8fC3PjVG7n7f+4m+itRWk5oOWi5NPWV/FiedVevq/RLNvUssRLWvGOxozBVkPeUrWmfyaEX6PS2sarrZCKpw63MWV+Gc8FP8+aIMJJXhnM+qahVOTNHr9xk7xMECd82Efk+sB/oBn4RaAZ+szrhmSNZ7azhCy1/Dy1QoMAH+SITzDGYfbYZiZ+LS4oUBQq8wiusZS2C0EEHd3DHQckeMD1Bw/d9nv/h88RSMVpPbCUUD1EYL7DuDevoOLOjUi/TmGVhYFIZzPm0RR3a49YCU66taZ903/Ocuv8vKPguYz0ebef/MTSfutihLaqWqIPgMZJXpLRvzKtR7tq4zwCvAR4C3gl8vrTdCGxQ1eeqFqEpW5gwP+Enr+raBAkKQbllXubl6eNJkgwwcNCkDdVgmbTx3nGijVFWXrgSVWXf4/vIjea4+OaLreyKqTsDk8ojfR7bRoLtwKSNsSrXYBZai9sRcfESq8n6LoxtW+ywFl0qKlzS5XJGSqwL1xyTstfGVdUXgV+uYiymAl7La3mER7iIi8q7wIcTs6t5T+8vsDLfQW9kiAdSm9EmH3EcMmRop316xi9A/5Z+tt+5ndD1IRo6GwBoOaEF3/MZ2TWC4ziW6Jm6M5jzEaApIozmgxa+9rh1uZWjLQZDofV0qIc7sZtYyIPGExc7rCUhFRXrujXHzNqEa9BreS0f42M004yDQ2iunF6ho5iis9BKT2iAwcgojV6CX93/Bk7a14z40Ecf13P9QZftvGcnkYbIdEKnqkwOTdL7TC8DLwzwwC0PMLRtyFbRMHWlLeqgwGg+aAdvsy63sp2eckh1nMbPVn+U4qq30Hjux+u+C9eYSiq7ZU9E3g68FVgFxGafV9UNFYzLHKMbuZFHeZTHeIw8hy/H0uglaS004+HzTMPLdI90kAvlKLg+J4x144z2ckbLGVzGZQddN9YzRqQhQo4cqsrgi4P0P9+Pl/PI9GfoebqHl370Em0nt3HFp67g5DeefKAWnzE1qj0uXNTh2pi9VyHiCue2u9B+BkGlL2NMJZWV7InIp4BPAk8TrJd7dMXczIK7iIt4I29kD3vopZcCBQCk9J+PT8KL0uw1ENEwGSdLhAiKIiIMhIf51fSbOK5lw3TZlSmNXY0MvDgAQDadpf/5fgoTBUb3jOJlPXKE8PIO45sH+NpbbkOP38Itz/08iYbwgt+HalNVxgpQ9IMWncYw1oVdx9rjYl23xpglp9zmlt8E/lxVz1PVX1XVm2Z/VCtAEblBRDaLSE5EfiYiHynzuj8SkV2l654SkWurFeNSFCLEB/kgf8vfcjIn45T+qR0cIkQIEaKj0ErSi5Nz8jT7jaxhDWdzNutZz3HuGtblVx+S6AGsvXot+fE8qsrwrmH8gk+mP0Mx6zFJBB9w8XDwiDNJeNc23tR4L1/4QgHPW+AbUUU5T3mk1+eB/R6ZIjyw3+ORXp+cZ93Xxhhjlo5yk71G4J5qBnI4InIh8F/A/wDnAp8CPisi7zvCdR8CPg3879J1dwH/LSJnVzXgJSZEiGu4hod5mA/wAWLECBEiTJgGGugstBHVCAWnyFWTl5AihSBMMMHJ3nqIHNzwOzUjd8UZK1h/3Xq8vMf4/nFyYznymSIFQoBPiCJhijgoDh5R8lzMozz2Rz/k566rjYRPVXmy3yedV5rC4Ao0hSGdV57q9228ojHGmCWj3GTvezBrlP7C+AjwuKp+XFWfV9VvAl8FPjbXBRL0of0h8GVV/Xbpuj8Cnil9vboTIsTn+BzXcz0pUsSI4eKyPbGXcXeCsyZP4bz8WeTJM8wwHdrBcYVOSDWTI8dd3MXN3Dy9jNrdcjcn/8rJNHQ1kFqfwst5oEIRFxcPF/CBoJCfg4+Dj3AyLzN0z0/581uW/zJqYwUYyikNoQPdtiJCQwgGckHXrjHGGLMUSDktECLyDoLaevcTtJINz36Mqt5e8eBEdgFfV9XPzDh2NXA3sFpV9xzmmrXADuAKVX1gxvE/A35ZVQ+Zzy8i7wXeC9DZ2XnB9773vTljGh8fp6Gh4dW/qEWkKAMMMMQQRYqECNFabCZRjOKJh4gQ1RgRDYHromGXXnrJkiVECAcHH58iRWLESI4nSYQTpHemyU8UUQWZvR5bqWTL9LJshBiklWgEWlodIhFobITYIVN+lraiD5li0KIH4GXHcWPB+8JTSIYgVMdzUpbz90ml2b04oJbvRcEPfi6EHAiX8b1fy/fiaNm9OODV3IvXv/71P1XVC+d7TLmzcb9f2p4A/PphzitQjVHJ3UDPrGM9M84dkuyVjs983MzrDrt4rKp+DfgawIUXXqhXXnnlnAHdd999zHd+2fF9GM2g6REkXwy6blPN0JTkLucebuf26dU0pijKTnbyjvvewVVXXMVjf/MYd/zpgxTGJ3GnF2uT6RY9AbLEcPDIEuVv+AVcPKJR4VffFSabhTe9Cd7+dlgucxtG88oD+z2aShMyRp57kOYzL0dVGS3Ahm6XpsgyeTFVUHPfJ8fA7sUBtXIvhrLKcN6nJeLQGhN2j/tsHvCJOJD14dR2h9UN82d8tXIvKsHuxQHVuhflJntrK/7MZmlwHGhpRFoaDzl1J3fSSedBiR4EM3o76WSEEUSE1/zua9i1o8jmr9w7PS7AK30mKHki+AhhfMZpwMEnTIFsLsKzz3pcc43LrbfCWWfBqcuktFZjGNqiQjqvNISC9FZVGS9Ce1RorL2Jx8YYgkRvU+/UwGOPSzpdBrJKxIFEWKCgDGSV1dZQZZaQcpdL23WkjyrFtx/omnWsc8a5ua5hjuvmusbMMtXlmyBx2PMJEhQpoiiO4/C2v7yExPrjyBIBwEfwcMkSo0gYUASfJzifMMXSaD7l0Uc8XnlxgnhM+cmrW+ltUYgI569wSEWE0ULQdTtagFREOG+FrSBiTK0azgcjkptLLffDeZ/2mJD3YaKg5H1oj9n3v1la5kz2RCQx8/MjfVQpvoeA62Ydux7YdbjxeiU/A/bNcd3GikZXwwShnXYmmDjs+QkmCBGabvVzXeGtn7+I5hURCji4pSkaDj4RcsTJ8RInsYXTEDyChaWCFr5b79jKvQ88z549y2uabtQVLup0eF23SzIEr+t2uajTIeraD3pjalVLJPi1OZLX6f1VSeHcdoeORLBdlbSfAWZpma9lb0xEplbFGAfGjvBRDV8GNojILSJyqoj8OvAB4M+nHiAiG0TkhalYNZhx8gXgwyLya6Xr/hw4p/T1TJmu4zp66Z0uuTJFUXrppZnmg46f+guncM7bTyGZigE+RVzyROhjBXfwBn7EDYRQ8kQpEsLHwSPE+NgZ7H+xla/+y6NkJooL+AqPnYjQFBFCTrAmaq216I3klSf7PX6yx+PJfm/6F5wx9ao1JlzS6XJ6Kti2xoLv+9UNDue1u6xusJZ9s/TMN2bvN4Dtpc+rVjR5Pqr6uIi8BfgscDPBJItPqOrfz3hYAjiltJ267isiEi1d1wk8D/y8qj69YMHXgNfxOn7KT9nKVjrpJEGCCSbopZfTOZ0GDh6U4jgON/zNDay9ej3f/537GOpz2c9KHuJywuSJU2CcBnDH8BPD4BZxFDTTRLaYItUfoeX4XYzsWkciYT8sF9tIXtm03wOBmAu9k9A74XFJtzvdhWVMPWqNCa0xWyllOUrnlHTOJxV1SEXr5+fYnMmeqn4LQETCwDZgp6ruW6jAZsRxG3DbPOfvAw75F1PVzxOUizGvUpQoH+bDPMiD3MEdvMIrtNHGu3gXl3M5D/PwIdc4jsMZbzuNP33zqfxi+J8RinSyn12cQIQsRIfRxh5QF1Tx1cWPFWCywGh2NcXGHbSfECG9t4to2GY5LKbtIz4INISDb68GB8YLyvYRn/NX2C86Y8zyks4pD/UcmFxzaZdbNwlfObNxPeAnwM8RjIUzdSRKlGtK/yl6yMzcubgh4buZX+I9yb9hDytpYZhMtIgmxhAF1ENzzZBvAvEhlCNXTMLY8UxGh2i88GE+/cEzuPnXTyNczwXrFtFwLmjRmynmBseNMWa5SecOTK4ZyU+18NXHH65H/C2qqj7wMofObjV1ptxEb0o0EeIfM79H9we+xERiFF3xNI4KoVAmKL5caIRQDtw8qIPGByE0Cdl2ZO/xfPpLu7nmpgcpFP0qvSIzn5YoZGfNmcl6wXFjzP/P3p3HyVWV+R//nNp673QnnaQ7OwmJYQthEUQWwybgggsqjoy4/QYdxhFFx3EGZRgdHAeccZ1xGReUEXQEFQQBBQwIyrBIgABhyZ5OZ+9O77We3x/PLaq60ls6vVRXf9+vV70qdeveW6duqquffs55zpHJpr6sb3FN9vFUMNx3ehVwtXPumLFsjJSessoI5/3FSZz2ifvIHPULSJeRyYTIJOoADz4EmYjd6jcBIXBpvI8Rr3yZP/0pzJd/8OIEv4upacm0EHjruk1lPJ1JDz7YLiIyydSXOU5ttOKaqdSFC8OfVPmzwAxgjXOuGdgJfUs0vfcn9XegyDmLz+HPK78MbWsJ7byDzMsXQrzWPkGZCBCC2s32OFEF4R58phwq9pFMreMfb97IlqZ2vnLB9ZRHJtm6apPYtJjjtU1h1u/P0BaH2RUW6Kk4Q0Qmq/oyN2W6bvMNN9h7Flg7lg2R0nXMrGN4/dJzeGHvOh4PX0e4fgP8+W+gZwbE2qF2G9RtgO0nQ7ISPMTKm0m5DES7oHc633n0K9y78W6eufwZBXzjaFrMqRhDRGSSG1aw571//xi3Q0qYc473rngvK2au4IT7riO96P+gvBeeuQSqWiCagH2LLfgjA+lyYtPX2nTOZfthwcP4RBkv79zG0mvewHP/+BtqKhXwFZXWp2HrrdC1BaoWQPo1E90iEREJDDr4xjlX4Zy7yDn3Sefce5xzswfbX2QgzjlWzlnJda/5Ifz236C7DhqfgNbDYfvx1oXb8JyN26t7ibaZW6DheTj8tzD3cShvg0gv28K/Z/o/Hsfe9vaJfkuS1fo0PP9lSOyHyvl237vTtouIyIQbMLPnnFsM3Assytvc7px7l/f+t2PdMClNH7+ijM997lR6HjgV8LDsV1CzA7pmQqwbZq6F2WugvN3G89VtgYp9fWZSTE1bx4KvLKH1qmZikdiEvRcJbL0VYtMhVmePY3Xgwra9fsXEtk1ERAbN7F0HZIDTsdUpjgKeBL4zDu2SEhUOw798IYQLp2HGc3DkL6F2O8xZA41PQigDsR5ofAYan4La5n6mzIbuzB7e+fN3ksloWpYJ17UForV9t7kwdG+dmPaIiEgfgwV7pwCf9d4/7L3v9d4/D3wYWOCcaxqf5kkp+tjH4NWv7YJX3W0TKpe3QaQbCEHDC7DgjxDptUxff4Wfzm53vHgHH7vrYwr4JlrVAkgWdKv7tHXpiojIhBss2GsCNhRsW4/9qtUEyzJikQg8eG8NM06+CyIpcB4q98Hh98Dhd9lSakFAN5gMGSjpffYAACAASURBVL71+Ld41y3vIpVKjUvbpR/zL4LEPki0gc8E92nbLiIiE26o2VH9EM+LjEhZLMxZpzRQd/zvKDvlB0SOu5nQrBcIh0OEwjZ576CfviAQzJDh1udv5YTvnqCAb6LUr4AjPgWxadCzze7LZ2u8nkiRa417NrSnaY3rV32pG2rqlXucc/39Br2vcLv3ftboNUumgktXXMrqjavpznRTGa2kN9VLIpOwJ0PYqswwZIYPYO3utfzT7/+Ja8+9dqyaK4OpX9E3uFu9esKaIiJDa417Ht6R/ZJNT7kVJaaawYK9fx63VsiU9Ialb+Cw+sN4eufTdCe6SVHwd0UYKxHKN8B3UYYMX3v0a3zh7C8QCmk5LxGRwbTG7ct1WsyxP+FpjWem5MoSU8WAwZ73XsGejKlQKMRxjcexYNoC7nr5LlJJC/bChMkEUZ4PDd294HB4PN2pbu5Zfw8XLL1gTNstIjLZ1ZdZ98n+hM97LKVquMuliYyJ2TWzKY+WEwvHyGQyr8yb15PsweMJuRAORzKdJP1Kv25f2WAv5ELc+NSNCvZERIZQX+Y4tTEcZPRC6sItcQrlZUKdt+Q89vbsJZPJ4Fzuy8Y5R8ZniIQieDzOOWaUz+j3HD6o5JhZMZPmjuZxabeIyGRXX+ZYXKuxelOBgj2ZUCfNPYmT555MRbSCZCaJ956Mz+BwhFyIsAuTSqeoiFSwfMZyXD+D9jyeykgldRV1zK2ZOwHvQkREpHgp2JMJFQlF+MiJH+GKk68gGooST8Xx3lNTVkNVtIreZC84mF01m3gmzryqeURcpE/QFw1FmVk5k45EB5esuGQC342IiEjx0Zg9mXCRUIRPn/ppmjua+eW6X5JKp/B4ysJlxCpiVEYrqY5V01DZwAlNJ7Bmxxqe3vU0aZ8mRAjnHPt69zG3Zi67u3aT8RlCTn/HiIiIgII9KRKhUIivnf81zl18Ljc+fSPbO7czp3oO713xXubVzuOrj3yVRfWLCLkQx/pj2dm9k854J93Jbppqmjh57skcVncY92+6n+PnHM+K2ZrQV0REBBTsSREJhUJcuPxCLlx+YZ/tGZ/hrMPO4v6N91NbXstL+16iKlpFT7IH5xwtHS3cs/4eVs5eydIZS7l3w70K9kRERALq65KiF3IhLl15KVe+9koW1i2kPd7Olv1b2Nu9l3QmTciF6Ep08eCWB7n9xdvZ3rF9opssIiJSNJTZk0kh5EKsbFzJysaVPLDxAZ7a+RSV0cpXpmsJh8KkM2l2dOzgzhfv5NjZx3LGwjNYWLdwglsuIsWmN+XZ0pmhNQH1MVhQHaI8oulHpHQpsyeTzrO7nz2gACOZThJPxQFo7mjmwc0PcvXqq7nrpbsmookiUqR6U56HdmR4ab9nf9zz0n573JsaerUekclKmT2ZdKbt7uB1G8LM2t/DjtoQjywMsaEqAUA0HCWdSTO3di7JdJKfPfszjpx55MFn+Lq3Q8vd0LEeapZA0/lQOWcM3o2IjKctnRniaU9tzDJ5FUB7wjJ9y+q0NqyUJmX2ZHK5/36uvi/JWS+nWdYe5Zz1ns/+Ls5ZG6EiUoHDURGpYFfXLp5oeYI1LWu46v6rWLtrLd4P8y/37u2w9vOw50+QSdj92s/bdhGZ1FoTEC34zRcN2XaRUqVgT4qf9/Dzn8Mpp8Bb38qZGxzVPSk6KsPsm1HB7toIlz7tmNcOqUyKxupGHt7yMHu79xIOhVm/bz3XPXwdNz1z0/ACvpa7waehYi5Equzep227iExq9TFIZvpuS2Zsu0ipUrAnxc17uPRS+OAH4YknoKODut37ecuzGd7yaAfxVJxkxJEkw3EbummobCAUClFXXkdVrAqPp7GmkYXTFnLP+nt4dvezQ79mx3qI1vXdFq2Djg1j8x5FZNwsqA5RFna0Jzw9KU97wlMWdiyo1q9DKV0asyfF7ZZb4Fe/gnQakkkAHPZXyqL98Lere9k+DdpiEErCQ3N38EzdDurK6lg+fTkZn2HhtIWEQ2GqY9Xct/E+jp519OCvWbPEum4jVbltyTZoOGXM3qaIjI/yiOO0xpCqcWVK0Z8yUtz+678glYLe3j6bswFfRRoW7oOl++CYnfD538PZL0NbvI1HWh5hWd0y6sotS1cdq2ZH546hX7PpfHBh6GmGVJfdu7BtF5FJrzziWFYX5uRZYZbVhRXoSclTZk+K2/btFux5D6EQZDIH7BIBqhIwtwO6o/DZB2F/OTw+D37+ws+p3lDNcU3HsXz6co5qPGro16ycA0dfHVTjbrCMnqpxRURkklKwJ8Vtzhx46SVwrt9ALysMTO+BI3ZDTwy++2v499fAPUthT3Unf9jyB57Z8QyXv/ry4b1u5RxY8sHReQ8iIiITSN24Utwuv9wCvWFU0YaByhTUxqG2B/7yGbjoOTj/RXu+LdHGLc/fMrbtFRERKTIK9qS4veMdcMYZw9rVAckwpENQkwTnYdkeuPhZWNRq+1z70LXU/Wsd7e3tY9dmERGRIqJgT4qbc3D//XDeecPavTwJNXG7LW6F07ZARQJO35TbZ39iP9O+Mk0BXwnpSXla4zaVhoiI9KUxe1L8nIO777YM3x/+MOiuESADxDKwuA06IzAtbhm/nx8FTZ3QG4E9lTDn6020X9VxwDq7MnmkMp61+zI0d3kc4IG5VY6jp4eIhFRhKSICyuzJZPLAAwdsKvx17gruq1JQmYBTtsD1v4ULXoTZHVDbC007uvmfNT8m4wcu/JDitnZfhm2dnpoo1MQcNVHY1mkBoIiIGAV7Mnk4BxUVB26mb9AXCh6ng8ezu2zDEbvg5Gb4+4fhtVtgfxls++WPWbtr7Zg3XUZfT8rT3OWpjYFz9glwzlEbg+YudelKaUp7z7rWNA+3pFnXmiY93DW/ZUpTsCeTS12dBX1lZRDrfzFLh3XlOmcf8LSD1gqIedhZDbuq4eLnYFY3xJ58mns33Due70BGSW86CPRd3/yucw4XPC9Sal5qy/DSfk9P2vPSfs9Lbcpiy9AU7MnkcnkwT146bdFcPwFfGsg4q8bNAD1RiKWhM9g1GbLbO9fCn8v2srO9ZdyaL6OnPGxj9HxBZsN7jwcqwhPSLJExtbcXKiJQFnZUROyxyFAU7Mnk8tnPwooVFuwlEra6RgEfJHqyH+4dVRbsRVNwYjMs2wszuuCk7fDGdfCZD3wf/t//gwcfHNZ8flIcKiKOuVWO9kQu4PPe05G0Ig0tgSWlaEY59KQgnvb0pOyxyFBUjSuTz5o1cO218J//CW1tUF0NySR0dZFJJgl7y/gAJIBpCZt7b1a3bV/casFeMmLLqk3raIV77oHVq+HSS+Fzn7OsoRS9o6eHgGw1ru9TjStSipbW2Wd+by/Mq8o+FhmcPiUyOV11la2b290NO3fCD3+IO/VUQk1NZMIhUsD+KKSiFujFw1CdgIZumNEDZRmIZqx4w3mgpQVmzYIf/xgeemii350MUyTkWNkQ5qy5YU5ptPuVDWFNuyIlK+wcy+vDnNoUZnl9mLD+MJVhUGZPJj/n4C1vgaOOwj3wAJHt24m0tFD2q1+R3rEDsHn1nLc590IZm2sv7KE8GORPOg3btlm38N//PVx5Jbz2tbY2rxS9ioiNXxIRkQPp61FKg3OwdKndwMbeffzjhC+5hJq1a6E7TiLI8EUdlKcg6gvm6du61ap8IxG46y648074wAeGvVybiIhIMVKwJ6XJOXjVq+CKK3APPkhtPA433jj0cfG4dQ/Pn2///uEPLYBsahr7NouIiIwBjdmT0nb66Va8MW/egPPyHSCdhp/8xG633AJnnWX/VqWuiIhMQgr2pLQtWgQXX2zZuhUrhn/cyy/Drl02hm/TJvjIR+A971HAJyIik46CPSl9F1wA11wDH/2odc+GhvmxLy+HcNimdpk2De64A26+eUybKiIiMtoU7MnUsGgRvO99sHEjfPGLwzsmm8XLFm2Ew/Ctb41ZE0VERMaCgj2ZWsJhm1rlk5/MbetvnqpIxMbuVVfbv1MpyGTguefgppuscldERGQSULAnU9OXvwwLF9q/+xuHV1cHNTUW5O3ebeP3urqs2ON737N5+H73u/Fts4iIyAgo2JOpa9Mmy/BVV+fG5l1wgd17Dx0dtkJHb28us1dVZUu0vfCCBYzK8ImISJFTsCdT25e/bEFdKmX3d9wBq1ZZQJdM5oI876Giwv4di1nBxsaNcNttE/0OREREBqVgTyRfKATveIfNzzd7tgV5kQjMmAEzZ9rzbW2WCYxG4ZFHJrrFIiIig1KwJ1KopQVWroQPfhCOOMLG71VXWyFHOGwra7S2QnMz3HefLanW0WFZPxERkSKjYE+k0Jw50Nlp/543z6pys4FcOg3t7TZmr7vbgr9HHoHNm+HqqxXwiYhI0VGwJ1LojDMgkbAxe8uXQ329FWn09lqA195u3blVVTZJ8+zZ1qV7882wevVEt15ERKQPBXsihbJLrG3bZt2zK1daN25WNGqB3oIFNuEyWBdvLAY33jghTRYRERlIZKIbIFKU3vAGOPJIePBBG8N3+ulWqPH1r1vWr6kpF+hlRSLw2GPwuc/Bnj02T9/y5ZYpXLKk/8mbRURExpiCPZGBLFpkt3xPPGFj9AoDvVQKtmyxjN/Pf27bwmF4/nl44AG46CJ485sV8ImIyLhTN67IwXjvey2zl0rltsXjNr4vOxffrFnQ2Ghj/TZutMrdL30Jvv99y/iJiIiMIwV7Igdj1Sr4i7+wrt2dO61YY8sWq8JtbLTJlkPBj1V3t+339NM2N9+PfgSf+Qw8/viEvgUREZlaFOyJHIxQCD7/efjv/4bXvAamT7fpWWprYe7cXPduMmmBXixmY/mmTbPCjhkz4NvfVoZPRETGjcbsiRysUAjOOstuYGP0urst4Gtvt4Cvvd26dcECvkTCundffNGKPm691cYDXnmldQ2DVf8+9BBs325z/Z12mgWSIiIih0DBnsihOvVU+O1vrUJ30ybr0o3HrRjDe6vK7e2FZ56x58ECxmeftdU3vvlNeO1r7fnZs6GhAZ57Du6+2wLBs8+eyHcnIiKTnLpxRQ7VnDkWoMXjlr3btQu6uqCnx7J9vb1QWWmBXiRit3DYijzSaXj0UbjhBjvuuefs2Hnz7Lw33mgZPxERkRFSsCcyGqqr4dpr4bLL4F3vgte/3iZdXrIEXvc6q8p1zm6plHXrZrt5wQo49uyxoPDPf7Zu4ex4v4cemrj3JSIik566cUVGy5w58M532g2s6vbb37Z1dtvbbVs63TfIy7dzJ9TVWYbv61+3beXltorHu9899u0XEZGSpMyeyFg58USbX++ii6wKFwYO9MDG+q1bB3v3WpdwPA7798P//q+t6CEiIjICCvZExlJDA7zxjfDFL1pRRibT/37ZlTWywWAICAMu+Pe9d8EPfjD27RURkZKjYE9kPLz3vQNn58Jhm4MvXwZIAz74dxL45GVj2kQRESlNCvZExsttt8GnPpXL4oVCVoRRXj54927W/jT886fGto0iIlJyFOyJjKfrr4e/+Rube6+62qpvM5mBu3ezXHD7wXfGo5UiIlJCFOyJjLdvfMOKLk4/HebPt5U4PvYxm6NvIB4bw9fePV6tFBGREqFgT2QinH8+3HEHPP203R92mM3HN9BPZDi4j4bg978f+Lx798Jdd8H3v2/3e/eOdstFRGSS0Tx7IsVg7lzr2n3NifDHx3PbXd7NA0cfDzd/F2Zsgco4VMyBGSdD+Ux44gn41resS7iszKZuufVW+Ou/hhNOmJj3JSIiE06ZPZFicMopVqRxxjkwe1puyhWwIM8D82vh3GNg6ROw9gbY9xRs+QWs+Qw8ditcdRU0N9vqHLW1Nu1LaytccQXcdJOt0CEiIlOOMnsixaCpCT7wAfjhD+GNF8F9d8OOFkh7qArDya+G006DafdCVw10xiybB7B2I3z9Y7CnDOqmQ0uLrd7hvRWA9PTYee+/35ZzO+mkiX2vIiIyrhTsiRSL00+HpUvhj3+0rtitW2HlSqvaBSh/EZyHhLcuX4D2Hrh1rf27Kmz7JpMW8IFl98JhC/pmzIDvfhcWL7btIiIyJagbV6SYNDbC298OX/iCVerGYrnnwh2QClsguGCBbXum2dbbrauEZK9ta2+3ufycs3+HEjC/C2ZugJpm+NMgBR4iIlJyFOyJFKN58+DSSy1Dt20b7NsHO+LQ2w7HHgs1tbbfng6IRaChHEIxy+rF4zZhcygEVW2waju8agdUboD5G2HfN2H/8xP7/kREZNyoG1ekWJ15JixbBg89BNu3Q9MxMPM+mN6Y26ehxoK72gicfCo8uRZSKSvSiGXglBTMWARMt+XXujMwfzo8+6/QdB4kWq2id+ZroaJxgIaIiMhkpmBPpJjNnQsXX5x7vGcFvPxdK74Il8NiDySg/FhoWAwzGmHDBnjkEViagoWNEJ5uxyaT1rU7owJ2/wnie6F6MbQ+Cc13wJIPwqzTJuRtiojI2FGwJzKZNJwM1Utg7yPQ0wJzm+AzH4If3AybN9v8ejU1cOKJMK8ZEu2Q6bJsn3Nw7BHQ+xxEKiFcCWUzgBmQjsP6H0DN4crwiYiUGAV7IpNNeQPMfVPu8Vxg+XHw6KM2xq+pyaZX2f0HWPN16KmEqmobB5jcDB1Y4BephlQXdG+DZAeke2H7XbDkAxP1zkREZAwo2BMpBfX1cN55fbdVnwltv4FwFUSDqVr2dgAeXAR8Gnbca9tdBNKd1kVcuxzqjoa9T0B8J5TNhhkn5M4hIiKTioI9kVIVrYFXXQEvfA0S+4KArscyeDNOgbY1FgiGgq8Bn7Iu3Oeuh1gNEIJQFDJJ2PJTWPYxqDtyQt+SiIgcPAV7IqVs2hFw3Jeh9c/QswNCb4Qtt0Kqw57PD/QAKubDjnug9gioX5k7T+9OePTDFhz6JEw/Hg6/DGqXju/7ERGRg1b0wZ5z7g3AF4EjgBbg6977/xjimNXA6wo2N3vv541JI0WKWbQaZp2Re1zWAE9+2jJ82cwdQP1xkGwHQrngD2xMX8tvobcFXMyO2fcYbP4ZrPg8LHn/6LY30Qp7HrXXK2+ChpMgVj+6ryEiMoUUdbDnnDsRuA34MvAXwMnAt51z3d77bw9x+E3AJ/Mep8emlSKTzKzTYOmHYeOPIVRm3b2V861go20t+AxEgvF5qS7Y/UeI7wYXtSreSJWN90t1w9ovwMxTRy/Dt+/P8OK3gLS1LROHLbfAsr+2bKKIiBy0Yl9B40rgMe/9P3jvn/fe3wB8A/jMMI7t8d7vyLvtHtOWikwmcy6AqoVQt8K6bCPB+ruhGJCByiAJ3r3NxvsBuBCvfGW4sHUBp3tg002j06ZEqwV6sXqoXADls+0+Vm/bE62j8zoiIlNMsQd7pwJ3F2y7G1jonBuqS/ZtzrndzrkXnXM3OOcWjE0TRSah8lmw5K8sY9e9BXqD+1AEph1l2T2wsX2ZFHgAB+Gy3DlcCPDQtRF699jEzC//N2z8iQWIL30Htt1u5x6OPY8Cacse5otUWrfynkeH//4yKWh7BnY9aPeZ1NDHiIiUKOe9n+g2DMg5lwA+6r3/bt62o4C1wEne+8cGOO7DwFZgC7AQuBo4DFjhvd/Rz/6XAZcBzJ49+4Sf/vSnA7aps7OT6urqEb+nUqJrkTNpr4VPWVdtJmlj8SJVFhjFd1nAl0na8z5j2bxCzkF0WvAgA+kEZOJ00kh1pMMqgMHGCUaqBm9LYq+9lov2086kHR+bMfR7yiStoCR/3KGLWKYw1M+5x9ik/WyMAV2LHF2LHF2LnJFcizPPPPMJ7/2Jg+0z7mP2nHPXAP80xG7/7L2/ZqSv4b3/Tt7Dtc65PwIbgQ9ixR6F+38X+C7AiSee6FetWjXguVevXs1gz08luhY5JXctkh02z17HS7Dxl9D6BGQyEAoBDshAJg1l06HmVIjVWdFGfDN4WB29mlXd18Dct0BlE8T3wMovQfnMgV9z+z2w5U7rui3UtRkWvhvmrBq83ZkUrPkHG0+Y/1q9uy1DuPJfcxXI46TkPhuHQNciR9ciR9ciZ6yuxUR0434Tq6wd7PbNYN8WoHDtptl5zw2L974VeB5YNNJGi0wp0RpoXAVL/wqO+kebcoWUZcsySQuqwlGITgdCNmdfvM0qfH1Q3ZuOQ/Nt0LsX8LDnkcFfs+EkIGyBWr5Ut2XmGk4aut3tz1tgWRhUls+07e3rhvX2RURKybhn9rz3e4A9w9z9YeA84PN5284HNnvvtw33NZ1z1cAy4DfDPUZEsjLQeLZNy9L+ggV8ZbOgYja0PwdtT1t3brLVxvG5COCsy9RnYPeDMOt10LN98JeJ1VvV7YvfsrGE4XILHl0Ell0+vOlXEq0EAwz74VXkISJTUlFPvQJ8Bfijc+5a4EZs6pW/BT6R3cE5dxLwY+BS7/2jzrklwKXAncBObMzeNVjf0w/HtfUipaC3BWLToHYZzDgRelpg3+NW0JFOQHI3eA94i7N8Mvh3EkLlkElA91aYd2Hf83Zvhz0P233lHGg41aZXOf66kc+zF6vHftT74zRfn4hMSUUd7HnvH3POvRUbZ/cpYAdwVcEce5XAq4J7gARwBnA5MA3r7n0IuOxgsoEiEihvsvnuwKZa2fe4BXGhqM23l0lBqt26bckAzoK/TAqI232mFxpekzvnztWw4UeWCQxXWcVs829g8ftg9iqYc55137Y+BTsfsOKK+mMPrNQtVHuEFYP07j5wzF5Zg637WyjVY9nJ+B7bp/5YyyqKiJSIog72ALz3d2JZuoGeX03en/Le+63AmWPfMpEpouEk2PoLC756tluAl115w0Vtrr5d9wEpXinewANB9W6yHZrekAu+urdboFfemDeVy3QLFjf8CGqWWVXuuq9AOhiv51MQroTlnxh8AudQxPZZ9xUr6sBbm8oabHthcUbnBts32YENYc7YeMXln4DqxaN1BUVEJlTRB3siMsHKZuTG0nVttq5b9gPOsmBtT0NZI/Q2A3lj9pyHstkWYOUHaHseDjJ6ZX1fJ1xm07vsvN9W7QiV2XyAWYn98MJX4bjrB8/wVc6xqtv2dTZGL1ZvGb3CQC/da4EeYahalPc6bbb9uOsnR4avd4/NaxibDuUNE90aESlCCvZEZGjTj4fj/g1e/C9oudtW36icBz07LNMXrYJkNeAtYMt2z4ZjUHesTc6c1b09qO7tR7gC9j1hGb38QA9s3GDXJuvanXnK4O0NRaDu6MH3aX3KMnr5gR7YNDJdm6xrecarBz/HREp1w4YbYO9jdr19xtq7+P1Dd3cn9ucCxNi0wfcVkUlPwZ6IDE/ZdHjV30D3ZojWW2CW6sS6a0PWtVtzuGXMUtHcGLlotXXZZlXOsWwg0w98jXQPuGobP5fusdfwzqpz8fY6PcMYepvYb0FjTwtUNMH0Ew4MauJ7GHj2qdDwV/6YKNlAr3J+LtjbG8wzv+zy/o9Jx2HTT2D3Q7zSbT3zNFh0yYGZVhEpGQr2RGT4YvWw9HJ46b8sAEsnrDgjXGmZOBe2fTLRILMXFHLMyJsjr+FUK8ZIx/sGGOm4ZZu6m6HzJQhV2BjBVLdlCMGyiMn9li2sXdZ/G1ufgRe/YdXALgY+AZt/Csv+FuqPye1X1oCNL+xPZvAJoCda756+gR7YfeV8m9y6d0//XbqbfgK7HrCJq13YrueuB+y5JR8cv/aLyLhSsCciB2f6cXDcdRZsdGyA5rQVM2RSFmiku4P1dLutO3Hp5dY1mlU5x6puN/zIAo5whWXx0r2Wnao5PFiztzmYZ88FhRpRW7WjdQ3c/3o44u+g8Vyb72/fk7bEW6QKtvw8WJ4tb8mhVCe8+E1rdzbDV3+sFWMk2vq2L9Fm2+vyAsNik9gXzGlYkJl0ISBkzxcGe4n9ltHLBnpg95ULbPv8i9SlK1KiFOyJyMGL1UPT66EJmHUavPANm09v2jHQux3SEVj+SVh4cd9AKmv2Kqu63fOwdbWWzbTxf9vvtirf6iXQ+bJlnnyaVyp8w1EL/Lp7YM1noOLrlj2cdqQFaF2bbbzd7LP7BnuRalt7d98T0HiWbQuX51XubuKAatxiLs6ITbfA2Gf6Bnw+A2Ts+UKJfVgBTcEaxy4MuGAM31gHex56d9l6yuo2Fhk3CvZE5NDUHQ3HXw97H4fenTYn3vPA0rMGP65yDix4J3RttYCr9Uno2gbxnRbwhWuC+fri4MOW4cskAG9dw4Rs31CZBQ+zVkHnRsv+7XoQ5rwJInkBm4tZYJmverFV3bY9k5ubr+6Y4g70wLJ2M1594Ji97q22vb8u3Nh0IGPBc37A59OA7z9AHC2ZNDTfDt0dsOZ/rICm6XyYeyGEwkMfLyKHRMGeiBy6aG0uYwawbvXwjksnLNDLJKH6MJsqJVoXFGh0YvP2hYC0zbXnM3ldkB58yPbp3WFVwol9QQYLaLkLms7LVab6hBVrFAqXF3fV7UAWv9/u9z3GK1nJbDVuf2LTrBijcMxe9xYLlMcyq9d8u83V6M634DSTsMc4mP/WsXtdEQEU7InIRGp/zoKzqkWQqQnG5cUhNsOycOlOC/JwBGuxWXVuKLv+bhD4xfdadquiEdJdFhSm2mHv/1kgk+6yzN70E4Zuk89Ax/rcHH01Sw4cGzeUVNeBYwFHW6TSqm4PZp69RZfY/e6HeOWazloFi94zdu1Mxy0Qr5wP+4PrGIpBxXwLyOdcoC5dkTGmYE9EJk58n8VwYAFAw2tgzyOQ6bauv1AE0gUrczhngY7PLs2WClbYqLFjovUWKEaqbRxg+1qINcCyjw6dverdY5W8XZt5JRiqWmiVvD6VC6oqGvs/PpOELbfCjnt5ZfWOxBtteyg6KpfsAOUNw59MOVxmVbfzLxq/efaS+61gJxQraEsM4ilbYSVcxJXPIiVAwZ6ITJyy6XmLHWKrdTSdoA+5egAAIABJREFUC+0v2Pi/hjOsWnf3o1Ztm0nYOD6cZQM7NwTBngvG+sXteecgUmPVubPOgsP+cuigxmcs0OvdAZULrYI33WMrcTx8CVQ2Bku3paH+OFjyIZtDMN+WW2H7b6ybNBSxIGfvftu+6N2jfPEOQWza+FXeRqcF1yLRd3s6YdujtePTDpEp7CD7JkRERlHtkZZdiu/NbQvFgJAFfnXHWvdf1RyobLLgDaxbtndnUJjgIRM8TrRj2bjF9lyqC8pmwf7nrQp0MB3rLaMXnQ57/gQ777P7XQ9ZFa8rs7ZULrTVN9Z/v+/xqS7L6GUDPbD7UMy2p7pG66pNLuEyK8bo3sor8xqmE9CzFZrUhSsyHpTZE5GJE471nf4kSNoRrbLpVHDWrZtOQMU8KJ9rGbzYDBtTN+MkiNTClpsti+awqVnieyyTlGyDNZ+2oKuswap/l344FzTmS7Ta6+97wub5i0yziZl9yrJ5bU9ZwOmcBX2tT1o3cbZLN9GGVQoXfq263PP9ve5UMPdCwEFbuwV9oYh1Jc9980S3TGRKULAnIhOraj6s/JIVa8T3WdduzXJY+y/Q8YJ1p0aDQod0kKmrPw5a7rT5+VqfDFbqyFhglklblo+MrcJRNsNW80jshU03WlB41KftfD0tudeM1QeB4i4L9JyDdBJwFpQm2yHZafPwOWfVrIl9uWAvVmf7ZlIFAZ/Pe36KCoWt6nb97+3/OlqrjJ7IOFKwJyITLxyD+pV9ty2/Av78qWD93UCkFhpOtsALB8l9VnUbitl8ez5ty6uRCZZji1pQ1rsjKBRIwsvfzo3ra38+N0dd3dEWhKR7csFlKGrZvezSb+keC/a8t9fKn5suUgWN58D2uyzzlx2zl0nY9qma1evDFfcydHJoOl624RA1S2wlHCkaCvZEpDiVz4Qj/w6e6rDMW7jcum+ds6ANH3T7xiwYS/dYcBYKW8EG3rJHiVYL9ELBRMmhcth8owV0s8+283kP+5+1qt1wuR3jgu7XaJ2t/eszVizivXVF1h93YFXugovsfse9uW3RE2DBm8b4YolMsI6XYe21ucdHX6WAr4go2BOR4lV7BNQus+xdWd70Ipk4VMwJulOB8ibobQmCuiCjhoPYTNseyl8RIwMZZxnDTNyCO+ds3reOddDwWgvmyhohUmGB5K7fW7CXbLPu4Gw1bqFQ1Kpu5705N8/eQ4+N3bQrIsWiY73dVy20QqeO9Qr2ioiCPREZW5mkVcNmJymedsTwg59QGJZ/HNZ91X6BZOdWLp8NJ/03bPlfyygkdtu8ehWNtubu/met6zbTm5vaJdNrr1s2M9c1nO6xYC+TsLF/HS9bgNmz05ZPq32V7bvgXTD/LbZf/jx76V5I7LdpTPKXWItUqdtWppaaJXbftbnvYykKCvZEZOx0N8O6/+g7tUrZDFh+JVTOHd45Khrh2Guh48XcRMA1yywQPPqzMO+tsP570LM9N55u/lttNY7N/ws9zUA8qPA9ygK4nQ9YNi9cYWP89j5ihRrhSqhdauMH21+wNi77W1tmLdutC7m1XrfflVtrds4FWutVpq6aw63rVmP2ipKCPREZG5mkBXrpuE2AnBXfY9tXfungMnzTjjhwu3NQfwyc8FUL6rKVtRVz7bnD/x88/+/QusaCvGitBWfhmAWDbWttypee7dZNWzYDMhmIhKB2ua0bG4r0DfQgWOv1l1A5z4pDMgl7DDD/bSO5WiKTX83hCvKKlCZVFpGxsf95y+iVFSzlVdZg2/c/P3qv5ZwFXvUr7D4bnJVNh2OutsKJRJuNxetuhsUfgIrZNkYvk7Sxe5mUdTVv/TnsfdymcXEhCyDzpXvzKm6DJcB82rptt91mz4uIFBFl9kRkbCRaD+350fLKerBvz40b9GnY+5hN6rvnEZuXL7t8WCZu2T48lM+ygLFPu/fb8aGoBYStT0H3Nnsu1QUvftPW4c0fwyciMoGU2RORsRGrP7TnR1usDqoPs/v4Phtn56JWpFHWYEGeA5tEucLGCNa+ysbxdW+zCZXBgkIXDoo6nrKu3mitFYhEqmHfGth444Gvn2iztXwTbeP5rkVElNkTkTEy7QgbAxff07crN77Htvc3Bm+8lE0PJmDuAkJWgNHbAokOIGUBYGy6jeN74orccY1n25Jrs8+CzTdB56bgXBmb9qX2SKhebGvqLnhHENB6ePn7sPuh3ATOM0+Dwy7pP/uXSVkFcKS6n6XXREQOnr5JRGRshKJWdbvuP4Ju0UC2Gnci554rmwENr4Fdq4Nq2pCtuxvaa5M51x8P+x6z9XCrl+bm7mv+jQVyyS7o3WNZvVSHBYa1R9ocY8kO2ze+zzKHvbtg531QfXgQ7KVh94PWjsPz5urzGWj5nRV/pHstEJx7ITSda8eNtnTcViLR0mUiJU/BnoiMncq5VnU70nn2xtJhl9p95yarxg1XWtVw3TEWxGXSuUAP7D7VZWP85r8dZp0eBHZJm7sv3QM7fmfBXLID1n7BnoufApnnLbiadqR1AVcusEzfgotya+a2/A42/Y9VEpfNtIBvU9AdPOe80XvfmTQ0/xpa7sqt49v0Bpj7Jk0bI1KiFOyJyNgKRa1KtthEKmDph2HOG2H9D6B9nW3r3QHTjrYgKL8bNZO0CWMj1VaYEa62atyebXZzEQsY092Widv6C6haDJwKkRrofNnOU3dMMF4wHMwbWBdkDW+3QC/btRsuh4p5tr3x7NHr0m3+NWy9NVdNnE7A1lvsuflvGZ3XEJGiomBPRKa2qnmw4mqbDia+17p4Q2U2Vi+b+YJgSpWMBXLhcstW+oRlK7ubLQBMtdtavc5BqAK6N0E0bY8j06BrowWAPmmZvlhQ6ZvqtPOXzezbtnA5xHdZRjFbLXwo0nHL6OVPGxOO2VJxLb+BOeerS1ekBKkaV0QELMirXWb30WrLpnVvCdbZxTJ3qS6oWgA46FwP0TorPnERcB5ClUFXaAh8HDIe8JbBw9s4vpbfwPY7LBBsucfOH6m2wK5wjr50r1UGZ5deyyStOzyTHNl7TLYHAWys7/ZwzLYn20d2XhEpasrsiYj0Z8E77X7H/bltc86HeGswDYsHXG6d3VDEgj6fAjJAxDJ/Lmzds/ufs2lXItU2dq/2SGi+w45deLEVY2y60bpus4FfzzZY9F7LJm6/C7b9OljjtxzmvRmazju44o1orbUznbAALyudsO3R2uGdJ5O0wDdSVRzjL0VkUAr2RET6E4rCovdYEJZss+7aUMzG4jXfZWPzvIeqw2zKlsSeoLIXy8alu6xLF2djADtehIaTYPqJuXF5lQug5V6b3LnpXNvWfLt13YYrLNBrOtcygJtuCsb0zQqKN26y/edcMPz3FC6zYoytt1jXbTgYs9ezFea/48Au3EwybxqYaFAx/Fsb95fusTbOfTM0vX5sKoYPwq7uDK0JT33MMatSnVYi+RTsiYgMJlptt6yFF1uAs/FG2PmAVRz3BGP2EnvBVVhg5KZZQBSK2PNVC6DhFMv0ZYWiWDdvG1TOsarbxrPzsmYRC7i2/bqf4o25tr3xnIPLrs19k923/AbiwZjE+e/IbYcgqLvnwExiJm3Zx8qFeRXDP7Fj5pw/oss7GnZ1Z3h0dwYHeDyvmeVoqHBDHicyVSjYExE5WJFKWPIhG9/Xco9l/ZKdUDXfAjyPrcgx593QvghO+Bo8dZVlAvNjkEwScLnpV8CCr/xijFSnBVzhWX3bEC6H+G57/mBWIwmFrep2zvkDz7NXmElM9cBz19sKINFa6NwINcttRZKKuZbpazznwIph722lkVAst17xGGhNeBxQG3O0Jzx74xkaKjSNjEiWgj0RkZEIRWyVjDlvtKBrx2qbLNmn7NZ4Piy6GB58GCpmQdM5NkavcoFl4jJJKwCZ+yYLHgcSqbbMWnai5ax0r1UNR6oHPnYw4TIIzzxwe3+ZxJ4Wm4sw2W4Zykwa2tbYczWL84LOIGj13iaf3vqLXIXz/LePrJ3DUB9zeDztCY8HZpSpG1ckn4I9EZFDEamAyAJYciksvMi6ZGN1uQrarPkX2X3LvbxS3DH3TbntAwlFrQv1lUxbtnij2cYUjnaBRGEm0WegY51lD+N7guKOcps7sGMdVDQGj/OCzj1/gpe+BWWzg1VFOu1x6t2j29bArMoQr5nl2BvPMKMspC5ckQIK9kRERkuk6sAgLysUyY33eyUgHCSjl68pWEFj268tixYqs0CvaRRX1sgqzCRmknaLxGxewHRXMOF01ApTujfD4g/kunC9t4xe+excAJgd89jWGnRlj34w1lDhcl233luXc0+LrXtcvXhMu5FFip2CPRGR8RSpHH6Ql+VCVnXbeE7f6tixUJhJDMXs9ROtMONEIAQdL0Bqv40/POxSq8bNyiSs67ZqYd/zRoOVRzKJsZ242XvY8CPY9XsISjaYdSYsfp8CPpmyFOyJiEwWoejBFWOMVDZj2HyHZfgq51pXbOU8WxKuohG6t8LiDx64bm8oZmP0skFpVrLT5iEsnNB5uBKtsHM1dKyHmiUwe1X/16JzgwV6lQstSPUZezzrdDtOZApSsCciIn0VZhLDVbDrQWi+zcbtRapgyV/ZNDEHHOusGOOlb0EZltFLdkJ8pwVnI8muJVrhmc9Dcr+NFWx/ztpzzNUHBnw9LYDLzfvnQva4d4eCPZmyFOyJiEj/8jOJTedYNi3dbcFfaJCpTRpOsfutv4CuzZbpW/rX8GxiZO3YudoCvcoF9jhWD11bbPv8t/Xdt6IJ8JbRy2b28FDeOLLXFikBCvZERGR4QhEIDWNJNedg5mst6Oszz97qkb1ux3rL6OWL1tj6xIWqF9sYvcIxe9WLR/baUlw6Xs515dccPtGtmTQU7ImIyNhwbnSKMWqWWNdtfpdtsgOq++mWdc6KMWadbl235Y2qxi0VHS/D2mtzj4++SgHfMGnmSRERKW6zV0F0mnUJJ1qtCzc2zbb3xzkLEGeeavcK9EpDR5DJzVZ6d/ST2ZV+KbMnIiLjr2M9bLsdujZC1WEw78KBCyhi9VaMsXO1dd1WD1KNK6Ur+/no2tz3sQxJwZ6IiIyvjvXWHRcuh2gddLxkj4++avCAr7AYQ6aWmsPtM6IxewdN3bgiItKX92N7/m23W6BXPgvCseC+3LaLDKbmcJvb8VADvY6XYfs9dj8FKLMnIiJm35M2XUr3Vqicb/PlTT9u9F+na6Nl9PJF66Br0+i/lkihKVjoocyeiIhYoLfuK1blWrnQ7td9xbaPtqrDINnWd1uyDaoWjf5riWRls3k7/2CPp1ChhzJ7IiJiGb3YdIgFGbfs/dZfjH52b96Fllnp3WUZvWSbLcs278LRfR0pXQc7315+Ni/ZbvdTqNBDwZ6IyFTnfdB1u7Dv9ug06N5sz4/m9CU1S6zrbNvt1nVbs3TwalyRfCPphs2ftqVrM8w6AyrmHFywOFBwOQkmelawJyIy1TlnY/SS+3MZPQiWKJs/NvPU1SyBIz4x+ueV0lcYuHWsHzrIKpy2Zdbpww/MBgsuJ8n4P43ZExERK8ZI7INEm2XyEm32eP7bJ7plIn2NZL697LQtC9998AHZYJM5T5KJnpXZExERG5e3/BNBNe5my+gtft/YVOOKHIqRzrdXc/jIsm6DBZeTZKJnBXsiImKmH2e30R6jJzLaRhq4jfS1BgouJ8lEzwr2RESkLwV6In0NFlyOZ+A5Qgr2RERERPozCSpth0PBnoiIiEihSVJpOxyqxhUREZHRVQprz06SStvhUGZPRERERk+pZMQmSaXtcCjYExERGWvdzRDfC2UzoHLuRLdmbI1k0uNiNEkqbYdDwZ6IiMhY2n4XbP4ZuBD4DCy8GKiY6FaNnRLKiE2GStvhULAnIiIyVrqbLdCrmAuhKGSS9jhzyUS3bOyUUEasVCjYExERGSvxvZbRC0XtcSgaZPhSE9uusVYiGbFSoWpcERGRsVI2w7puM0l7nEnaY6dci4wfBXsiIiJjpXKujdHraYbuLXa/8N25TJ8Uj1KYLmYA+tNCRERkLM25AOpW9K3GfXH1RLdK8vU3XQyUzLhDBXsiIiJjrXJu6U+5MpkVThez8w+w+8Hc85N1rsCAunFFRERkaiucLsYF20tg9QxQZk9ERESmusLpYgB2PTiyuQI7Xi667l8FeyIiIiKF08WMZK7AIl0qTt24IiIiIvlGmp3LH/uX/3iCKbMnIiIiknUo2bkiXSpOwZ6IiIhIVmFlbsf6gwj2inOpOAV7IiIiIlmHmp0rwqXiFOyJiIiIZBVpdu5QKNgTERERyVeE2blDoWpcERERkRKmYE9ERESkhCnYExERESlhCvZERERESpiCPREREZESpmBPREREpIQp2BMREREpYQr2REREREqYgj0RERGREqZgT0RERKSEKdgTERERKWEK9kRERERKmII9ERERkRKmYE9ERESkhCnYExERESlhRR3sOefOcM7d5pzb7JzzzrnPDvO4qHPuOudci3Ouxzn3kHPuhLFur4iIiEixKepgD6gGngM+Dew4iOOuBz4EfBh4NbABuNc51zjqLRQREREpYkUd7Hnvf+O9/wfv/c+A+HCOcc7VAh8B/sF7f7v3fi3wgeD4j4xda0VERESKj/PeT3QbhsU5twn4nvf+X4bY70zgfmCh935L3vYbgSbv/Tn9HHMZcBnA7NmzT/jpT3864Pk7Ozuprq4e0XsoNboWOboWfel65Oha5Oha5Oha5Oha5IzkWpx55plPeO9PHGyfyCG1qjg1BfeF3b47gOP7O8B7/13guwAnnniiX7Vq1YAnX716NYM9P5XoWuToWvSl65Gja5Gja5Gja5Gja5EzVtdi3LtxnXPXBMUWg92uGe92iYiIiJSiicjsfRMYuJ/U7DmE87cE943Alrzts/OeExEREZkSxj3Y897v4dCCuaE8gRVjnAf8N4BzLgScQ9BVO+jBTzyxxzm3eZBdGhjb9k8muhY5uhZ96Xrk6Frk6Frk6Frk6FrkjORaLBxqh6Ies+ecqwYODx7GgEbn3Eqg03v/crDP24B/Bc723jd779udc98GvuicawE2An8HVADfGeo1vfczh2jT40MNhJwqdC1ydC360vXI0bXI0bXI0bXI0bXIGatrUdTBHnAi8Pu8x38T3B4AVgXbpgGvAqJ5+/0dkAC+B9Rh2b5zvffqxhUREZEppaiDPe/9asANsc8NwA0F25LYRMyfHqOmiYiIiEwKRT2pcpEactzfFKJrkaNr0ZeuR46uRY6uRY6uRY6uRc6YXItJM6myiIiIiBw8ZfZERERESpiCPREREZESpmBPREREpIQp2CvgnHuDc26Ncy7unNvknLtyGMes7mfJt2397Pd+59wLwbnXOecuGZt3MToO9lo45+qcc191zj3rnOtyzu1wzt3qnFtesN8NAyyTN+HV4SP5/w+O+7RzbnNw3JPOudeP1rkn0lT8DPRH3wt9jeBzsWiQ5TH/M2+/yfa5OMM5d1vws++dc58dxjFR59x1zrkW51yPc+4h59wJ/ew3qT4XB3stnHMLnHPfcc69FFyHbc65Hzrn5hbsN6yfo2Iyws/Fpn7e50P97Dfk75r+KNjL45w7EbgNuAtYCVyDTc78kWEcfhPQlHc7ruDcbwW+D3wbOBabA/DHzrkLRqv9o2mE16IJOAy4GjgeeCNQCdzvnKsv2PcP9L1eTd771Gi+h4M10v9/59zHgX8GPhcc9zvg1865FYd67ok0FT8D/dH3Ql8jvB5bKfi/Bt4ZPFe4fOak+FwEqoHnsGm+dgzzmOuBDwEfBl4NbADudc41ZneYjJ8LDv5avAqoAj4OHA28GzgKuNs5Fy7Yd9CfoyI0ks8FwL/R931emP/kcH7XDMh7r1twwz5QfyzYdj2waYjjVgPfG2KfPwI3FWz7ObB6ot/3aF6Lfs4zA/DAm/O23QDcO9HvcTTeMzYPZDPwxYLtjwE3jPb1LPbrMdk/A6N5HUrxe2GUPxc/AZ4t2DZpPhf9vJ9NwGeH2KcW6AUuy9sWxgKCaybz5+Jgr8UAxx0ffFcck7dtyJ+jYr4N91oMtd9wf9cMdFNmr69TgbsLtt0NLHTOzRvi2Lc553Y7514MuiIWZJ9wzsWwv+D6O/dr+vkrphgcyrXINy247yrYfpKzLr6Nzrr5jhppQ0fRSN7zImDOAMeddojnnmhT8TPQH30v9HXInwvnXANwEf0vYTlZPhcjcQJQRt71896nsQzNaTCpPxejoS647y7YPuDPUYn5qHNur7NhMF93zs3Ie24Rw/td0y8Fe301cWDKdUfecwO5GXgvcCbwCeAI4PG8tHwDtlpJf+cuA6YfQpvHykivxSuCL6X/wv7yWJ331D3A+4Bzgb/CUvmPOeeOPoT2joaRvOemgv3yj2sq2O+QrucEmIqfgf7oe6Gv0fgsvx/IAD8u2D6ZPhcjMZzvi8n6uTgkzrlq4D+AW7336/OeGurnqFR8A/hLbCnYa4DzgD865yqC54f7u6ZfJR/sOeeu6WfQY+HtmkN5De/9d7z3v/Her/Xe3wmcD8SAD47Gexgt43Et8l4rjH2RLwPe7r3PZJ/z3t/svf+l9/4Z7/292LiEZuBjo/HaUhym+mdgsnwvjDfnnAMuA/7Xe9+W/9xU+FzIgZxzVcDtQAobz/iKqfJz5L3/d+/9vcFn/+fABcBS4G2jcf6irHAaZd/kwAHAhfYE9y1A4V8Ls/OeGxbvfatz7nks7Zo9f2qAc8eBfcM99yEal2sRdEPcjA0sfp33ftDKKe99wjn3OLnrNVFG8p6z2xuBFwuOaynY75A/W+NsKn4G+lPq3wsH61Cvx1nYL7FLh9qxyD8XI5H/fbElb3v+98Vk/VyMiHNuGnAnEAXO8d7vH2z/fn6OSpL3foNzbie59znc3zX9KvnMnvd+j/d+3RC3bIDzMJY6zXc+sHmoX1b5gnT0MqwCDe99AuvG6u/cjwRjNsbceFwL51wl9hfakcAZ3vutQ7UryAAdS3C9JtBI3vMmYPsAx+WXzY/KZ2ucTcXPQH9K+nthBA71enwYeNp7/8hQOxb552IknsACtleun3MuBJxD8H0xiT8XBy0Yu/n74OG5hZneAY7p83NUqpxNQTOL3PvcxPB+1/RvLKpPJusNGxSbBK4FlmNjR3qAj+TtcxKwDjgpeLwEK4U+CVgInAHcj/31NS/vuLdif61dgZWcXxk8vmCi3/coXosabNqEjcAK7C+Q7K0i2Cc7LuNU7C+Wk7Aqs17g+Mn2noNtH8cGFP9lcNyXsC/0Yw/m3MV2m4qfgVG8DiX5vXAoPyfB9tlAAri8n/NOqs9FXptXBrftWO/JSuDw4Pm3Bddhbt4xXwV2A2/Cphq5AWjFppiZzJ+Lg7oW2Diz57AAeEnBd0Us2GdYP0fFdhvBtTgF+BRWjbwQC+iexL5Hq/POO+TvmgHbNNEXpdhu2LxgTwUXcDNwZcHzq7DS8FXB4/nYXya7gy+xzdiUAof3c+73Y+nXBPAC8JcT/X5H+VpkH/d3e3+wTwVWPbQjuA7NWBaoKL7MD/Y9523/e6xbJg6sAc472HMX420qfgZG6TqU7PfCSK5H3vbPAJ1AbT/nnIyfi4E+76vz/m89sCjvmChwXfA+e7FM6YmT/XNxsNci73F/t1XBPsP+OSqm2wiuxfHYdDv7gp+p9cC3gMZ+zj3k75r+bi44WERERERKUMmP2RMRERGZyhTsiYiIiJQwBXsiIiIiJUzBnoiIiEgJU7AnIiIiUsIU7ImIiIiUMAV7InKAftZR3u6cu9U5t2QYx74/OKZ6lNu0Kjjv0aN53uDci4Jzv2kY+852zn3VObfeORd3zrU6537rnHvHaLerFDnnThruGtzOuROdczc4515wzmWcczeMbetESpOCPREZyH5sZvfs7O4rgfuCRcsHc2dwTPcot+fPwXnXj/J5h8059ypsZvs3Al8GXo+t8boe+Ilz7tiJatskchLwT8Pc91TgNGz5sB1j1iKREheZ6AaISNFK+dz6pY8457ZgS6G9AVvGqo9gHdOw9343NuP9qPLetwNDrqc6xn6CzXL/2qA9Wb92zn0LGHJtTzko3/Defw3AOff4RDdGZLJSZk9EhuuJ4H4RQNC99rhz7q3OuWexpZ9OLuzGzesifZdz7jvOuf3OuW3OuX8OFoF/hXNuhXPu1865Nudcp3PuUefcucFzB3TjBo+vdM59zTm3LzjuG865WN4+Tc65HzjnNjjnepxzLzrn/iV/n+Fwzp0BnAD8Q0GgB4D3/mnv/Za8/d/lnHsm6Ord6py71jkXyXs+e52Od86tds51O+fWBI+rnHM/DK7VBufcXxS0ZbVz7hbn3GXOuU3B+7ozWDw9f78G59yPnHN7g/Ovds6dWLDPJufcl51znwj+X1qdcz91ztUV7DfdOfdd59xO51yvc+6PzrmTC/bxzrkrnHNfdM7tds7tcs79p3OuLPuegW/k7eudc6sHuube+8xAz4nI8CnYE5HhWhTc7yjYdh3wr8AF2MLdA7kOWxf1HcD/AFcH/wbAObccWye0CfgItlj4L7H1MQfzSWAecAnwL8BlwLV5zzdg2bgrgfOB64EPEAQdB+F1QBq4d6gdnXOvB36GdT2/JXitT2ELohf6EXAzcBHggFuA72MLqL8D+D/gx865eQXHnQL8bfC+PgSsAH5VsM+vsEXVPwVcjH3n/945d3jBfu8Czsau3d8DbwK+mPd+yoL3fQ7wd8Bbseztvc65xoJzfRKYgy3Wfj3wYeCK4Lk7gX/Pa/8pwOX9XBMRGU0TvWCwbrrpVnw34BpgDzbUIwIswxYkbweagn1uwBbzXllw7PuD7dXB40XB4x8X7LcG+Gne45uBbUDFAG1aFZzn6LxtHlgHhPK2XYWNF5w+wHkiwHuwTGSsoI1vGuSafBtoGeb1ewT4fcFkwnq+AAAEbElEQVS2T2PB4ryC6/S+vH3eEGz7Qd62aUAS+Ou8bauDbQvytp0aHHt+8Pj84PHr8vapwoK07+Rt24SNOYzkbfsqsCPv8YewheiXFlzH9cD1Bf8fDxa8718Bj+Q9/qj96jnoz+TjwA0T/bOhm26T8abMnogMZAYWUCSBF4DFwMXe+5a8fZq992uGeb7fFjx+DsvIZZ0F/Mx733OQ7bzN9+3u+wVQAf+/vfsJsaoM4zj+/UGSBQb9GUWigmiVuWigfxRB0b4IlGjWLVqkLlr0l9AglBLduLI/EERJriohi7FRy3CQIIohQQr6J97UMAh1sp4Wz3vszJl75865i2G6/j4wnHveee9533NnMQ/vc573chuA0gZJU5LOkvfzDnA5cGPLsaJfh/Ls4iizn2vcRa6s3dNoH6+9PlaO+y4OGHGGDNBmpGiBr6KWNo6IL4AOWQBBOXYiYn+tz5/AR2TRQ91nEXGhdj4FLJe0pJw/RKbxf5B0WS0dvR+YkRam/9/ZzBaYCzTMrJcz5D/5IFO3v0ZEM9g50eJ6zeKFaWBp7fxa4DjtdXqcryzHDWQ6cQsZnPwO3AHsaIzfzy/AiKSlEXFujn7XAUuY/dlU59c02uufy3SXtqq9OdfmfVdt1X2v7NHnRJ85VOOJDIj/Iu/p7vK6qVkdPZ+5m9kCcrBnZr1ciIh+FZB9V7paOMV/gUoby3ucV4HjGmB3RDxfdZB06wDjTACbyGfb9szR7yQZFDXntaIcTw8wdjfN61dt1X0f79FnxQBzOE2mUZ/s8rvzLa9lZgvMaVwzWyzGgbWS2q4CPdyo6n0UOAt8W86vYHZAMtZ2chFxkExlviJpWfP3klZLuiEi/i791jS6rAX+Ab5sO3YPo5IupqEl3UsGd5Ol6TCZir2/1udKco/Az1uONQ7cAvwYEUcaP9+0vNZ0mYtX+8wWiFf2zGyx2EhunntA0lZype924FREvDnH+5YB70vaCawCXgR2RES1evUpsE7SYTLlOEYGLoMYIwtVjkjaRj6PdhVZ8foEcBfwE7lp8F5JbwHvAauBl4GdEfHzgGM3/QbskfQSmSbdQj7H9zFAROyVdAjYJekZ8vN8mgx+X2051ttkhfSEpNeA78m0+51kIce2Ftf6rhzXS9oH/BERR7t1lDRCVkEDXA3cpPJNJRGxu+U9mF2yHOyZ2aIQEUcl3QdsBl4vzVPAc33eupUsHnmXzFa80XjPJmCE3JYFsoBjHfDhgHMcBZ4lq2uvJyt/J4HHI+Lr0u8TSY8BL5ABYqfMc77fHDEfh8jtULaT9zdBbp1S90gZdzsZEE4CD0bEMVqIiHOSHiA/y41kKrhTrvdBy3kfJIPN9eSWPQfISutuVjGz0OXmWl+1HNfskqXZz1ubmf0/SArgqYjotn/d0CobEZ+MCH8fr5n15Wf2zMzMzIaYgz0zMzOzIeY0rpmZmdkQ88qemZmZ2RBzsGdmZmY2xBzsmZmZmQ0xB3tmZmZmQ8zBnpmZmdkQ+xdE6UEUnw6jyAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "arch_shapes_dict = collect_info(top1_sorted_df)\n",
    "pca_projection(arch_shapes_dict,\n",
    "               title=\"2-Component PCA\\nAll Networks\\nColor encodes the search phase\"\n",
    "                     \"\\nSize encodes the search-Top1\",\n",
    "               show_legend=False, show_episode_ids=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### These are the actions the networks experienced"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top1_sorted_df = df.sort_values(by=['reward'], ascending=False)\n",
    "nrows = 2; ncols = 4\n",
    "f, axarr = plt.subplots(nrows, ncols, figsize=(15,7))\n",
    "for i in range(0, nrows * ncols):\n",
    "    plot_action_history(top1_sorted_df, i, ax=axarr[i//ncols, i%ncols], color='b')\n",
    "    # Fine-tune figure; make subplots farther from each other.\n",
    "    f.subplots_adjust(hspace=0.6, wspace=0.4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Per-layer filter density distribution - top 10% networks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top10pct = top1_sorted_df[:int(len(df.index) * 0.1)]\n",
    "#top10pct = df[int(len(df.index) * 0.95):]\n",
    "\n",
    "layer_densities_list = []\n",
    "for index, row in top10pct.iterrows():\n",
    "    layer_densities = json.loads(row['performance'])\n",
    "    layer_densities = list(layer_densities.values())\n",
    "\n",
    "    #net_performance = json.loads(record[\"performance\"])\n",
    "    #ax.bar(range(len(net_performance)), list(net_performance.values()), color=color, align='center')\n",
    "\n",
    "    #layer_densities = [1. - float(sparsity) for sparsity in layer_sparsities]\n",
    "    layer_densities_list.append(layer_densities)\n",
    "\n",
    "layer_densities = np.array(layer_densities_list)\n",
    "mean = layer_densities.mean(axis=0)\n",
    "std = layer_densities.std(axis=0)\n",
    "\n",
    "\n",
    "# Draw the bar diagram of the layer densities\n",
    "fig, ax = plt.subplots(figsize=(15,7.5))\n",
    "ax.set_title(\"Best sampled models (90th percentile)\\nPer-layer filter density (mean and std)\")\n",
    "xpos = [i for i in range(len(mean))]\n",
    "ax.bar(xpos, mean, yerr=std, capsize=10, alpha=0.50, ecolor='black')\n",
    "ax.set_ylabel('Filter density')\n",
    "ax.set_xticks(xpos)\n",
    "layer_names = json.loads(row['performance']).keys()\n",
    "ax.set_xticklabels(layer_names, rotation=270)\n",
    "ax.yaxis.grid(True)\n",
    "#plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Network 2D embeddings\n",
    "\n",
    "Let's create an embedding of the networks AMC discovers over the course of each experiment session.  Each network is projected onto a 2D plane mapping the Top1 accuracy versus the compute budget, and is represented by a small circle. I used gradient-color-coding to show the relative phase where each network is discovered.  Lighter circles are networks discovered early in the search, darker networks are discovered later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top1 = df['top1']\n",
    "normalized_macs = df['normalized_macs']\n",
    "plot_2d_embeddings(top1, normalized_macs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Video animation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "a = AnimatedScatter(normalized_macs, top1)\n",
    "plt.title('Projection of Discovered Networks ({})'.format(len(top1)))  \n",
    "plt.xlabel('Normalized MACs')\n",
    "plt.ylabel('Top1 Accuracy')\n",
    "#a.ani.save('amc_vgg16.mp4', fps=10, dpi=80) #Frame per second controls speed, dpi controls the quality \n",
    "rc('animation', html='html5')\n",
    "a.ani"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot a histogram of the actions\n",
    "\n",
    "We want to look at the distribution of the sampled agent actions (```agent_actions``` below), to make sure they are not skewed or biased.\n",
    "\n",
    "We also want to compare these actions to the actions the environment actually acts on (these we call ```env_actions``` below).  \n",
    "For Clipped-PPO this is extra-interesting: The natural PPO action-space is (-inf, inf) so the environment needs to scale and shift the agent actions to fit into the \"real\" action-space."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_all_actions(df, action_type='action_history'):\n",
    "    actions = []\n",
    "    for index, record in df.iterrows():\n",
    "        #layer_sparsities = record[action_type]\n",
    "        #layer_sparsities = layer_sparsities[1:-1].split(\",\")\n",
    "        layer_sparsities = json.loads(record[action_type])\n",
    "        layer_sparsities = [float(sparsity) for sparsity in layer_sparsities]\n",
    "        actions.extend(layer_sparsities)\n",
    "    return actions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14400\n"
     ]
    },
    {
     "data": {
      "image/png": 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hfSl+JyTv+8DZZtY6JF9hvAAhNwK/pofWFw/ck8tyjtanQH0zi/y/5QgRv+qbtwpu2O0hTqZrL2QeY6ivYmjXEbwvpJHn4zLg4oi0PNVh3m1aSoWm+UHjOrzFWpL85Jfxrr+uWZQRGM73lb9vb/91i8wbOUTwWIm8uftteHN8Z4UmOue+x7tPXzf/sdTFvgJsVu/j3Hgdb3XewRblvq0xnJ8P8YagP2zevXxzu3+WnHM/4a2geh1ekG0c/eqhufmMy2+xXtO5ldN1EnjvZtVTL/KHo55IkT++dnjzcd7OJs87wB1mVtk5twVvFcTFwBIzm4IXRCXjLZhwG7DSOfejmW3G+3L+Dd5wxo3Z/BJ/L16A8JmZPYM3N+6vQDWgs/OXaD8BdAfuNrO38H7VLoI3TDFwf82AL/CGMY42s2VAhnPuFefcajMbjxcIzjazd/GO8e94c3pCb4XwT7wvdm+ZWegtPgJf8mPtLZiJt7jHe367y+KtdJjdkMrj4U28Wzk0JvzL1Ey8Ht2X8L7sn44XwP0ARAYlJ8u193/+l/t5eK9rObzbLqTjzW2Lyjm318zm4w17jccbXn6+357VeNdZwAAza473pf17vADqr3ijCV7Jpm0lga3+tfA1XoById5rM98PrMEbpn0l8LyZtcMb4mh4vSrX4s0LnuacyzCzv+IFI2vM7Fm8uXLl8VYF7Yi3aumxVst//3yAt7DPHXjzZZ+Nkncq/5sDfHsu6oj6Ps5NI51zm8ysD96c0S/N7FW8FVyrAM3wXq/Ls9l/r5ndijcHdo2ZPY/33jgdLzg5m9wtSBTpJbze74fx3j9H1VuWy8+4/BbTNZ2HcnO6Tq7Au71RtLmqIn9Mx2qZVz300OPEfABv4H2JSckmT0u8gKVfSFoNvF+sd+INhf0ebxGN00LyNMVbTOJ3f/9pfvrNRNxmwU//E96v7nvxbguwmJAl3kPyOaIsz4/3n//3MRzzIL+MGhHp1cl864xBhN/i40K8VWs34gUEv+D1sF0TUVYS3pezX/3zG1pGIbx7Uq71z91OvOF1laK09Wxgtn8+fsZbRKWR387rQ/IFzmnLLI75buAb/7XYiDe8L/C6XhbDuYlaPv9b6v+WGM57IbwvkeMi0ovgzaf73m/fWrwvnFldJyf8tYf3hfR9vMD/gP/3DeDCGM5TMl7AsxNvYZ0leKtGRtZxuV/mDyHX0ZzQ1zOL8ovi/UCxAm+RkEAv5GNAyYi8xfGCi//453I3XuA5gpBbooRcqzPwbotyEO/WE3MJv61Edf8cPhalXQuABTGcn2l+GZXxbj3zG97Koy8DFbLYJ97Plw6UyqmOGN/HufocwgskPvTPYeB9+C+gTYxtaYj3A8TP/uu9GW/hps6xvB/x3ifToqQn+teZAx7Iom5H9Ft8RH3fE+NnHNl8bkWpM2rerNqS1bUW6zXtX49borQr0I7qIWnZXScV8OZ494wsSw89/siPwD23RETkBGFm1+AFD02cc7EugHFCMLO/4wUr1Zx3Gw2R486fL7kdmOOc65JTfpFjxcwG4o2SqOlCbt8j8kenOZEiIgXIH9IY+rwI3lyw3XgL+5xsJuH1pOT3fEw5tXXGmyf6XE4ZRY4V/3Y79+D1qCqAlFOKeiJFRAqQmX2BN99mFd6Qqb8A9YE+zrlRBdk2kROdP2e0Ft4w7a1AfacvNiIix52CSBGRAmRmg4Dr8RbhKAz8F29OYbTFQ0QkhJktwLuP5grgb+4oF40REZHYKIgUERERERGRmGlOpIiIiIiIiMRM94mMoly5cq569eoF3QwREREREZECsWLFip+dc5H3cwYUREZVvXp1li9fXtDNEBERERERKRBmtimrbRrOKiIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIx0+qsIiIiIvloz5497Ny5k0OHDhV0U0TkFBUXF0dycjJJSUl52l9BpIiIiEg+2bNnDz/++COVKlUiPj4eMyvoJonIKcY5R3p6Olu3bgXIUyCp4awiIiIi+WTnzp1UqlSJhIQEBZAiUiDMjISEBCpVqsTOnTvzVIaCSBEREZF8cujQIeLj4wu6GSIixMfH53lYvYJIERERkXykHkgROREczWeRgkgRERERERGJmYJIEREREZGjcPPNN9OyZcuCbkZQhw4dGDlyZEE346Q1aNAgatSoUdDNyLNhw4Zx7bXXHtc6tDqriIiISAFrMnw+W3en52udlUrHs7hf83yt81iqUaMGN910E4MGDcq3OmfMmEHXrl1xzoWljxkzhoyMjHxrR3bmzZvH559/zquvvnrc63r//ffp378/a9euJSUlhXvuuYf77rsv23369OnDrFmz2LJlC4ULF6Z27do8/PDDXHnllWH5pk2bxrBhw/j+++9JTU1lwIAB3HjjjXlua1av3fGybNky7r33Xr788kvKlCnDzTffzGOPPUbhwoWj5j98+DCPPPIIH3zwARs2bKBYsWLUr1+fRx99lIsvvjiY75NPPmHUqFGsXLmSzZs3M2TIEP7xj3+EldWrVy+qVavGokWLuOSSS47L8SmIFBERESlgW3en8/3wK3POeAxV7/devtb3R1aqVKmCbkLQk08+Sbdu3ShevPhxrWf58uV07NiRPn368PLLL7Ns2TJ69uxJQkICPXv2zHK/2rVr07ZtW6pXr86hQ4eYNm0aHTt2ZNmyZdSvXx+AmTNn0qNHD0aOHEnbtm2ZNWsW3bp1o2zZsrRt2/a4Htex8MMPP9CqVSuuvfZapkyZwvr16/nb3/6Gc47hw4dH3efAgQMsXbqU+++/nwsvvBDnHE888QQtW7Zk5cqVnHnmmQDs27ePc889lxtuuIHevXtHLSshIYEuXbowevTo4xZE4pzTI+JRv359JyIiInKsrVmzJmp6tb6z8rklua/zww8/dM2aNXNlypRxSUlJrmnTpm7ZsmVheb777jvXqlUrV6xYMVe5cmU3btw416xZM9ejR49gnoMHD7qBAwe66tWru2LFirlzzz3XTZw4MawcwI0fP97ddNNNLjEx0VWqVMkNHTo0uL1Zs2YOCHts3Lgxx2MYPXq0u+CCC1yJEiVchQoV3PXXX++2bdsWlmfDhg3u2muvdWXKlHHx8fHu/PPPd++++677+OOPM9XZvXt355xz3bt3dy1atAiWkZGR4Z544gmXmprq4uLi3BlnnOGeeuqpsHqqVavmBgwY4O655x5XpkwZl5yc7Hr37u0OHToUzPPpp5+6xo0bu8TERJeYmOjq1KnjZs+eneXx/fzzz65QoUJu8eLFmeoaMmRIWFqPHj1cs2bNcjxnWenSpYtr1KhRWFqfPn1ctWrVcl1W6dKl3ejRo4PPGzVq5Lp06RKW589//nOO7Z0yZYo7++yzXbFixVyZMmXcpZde6n744YdsX7v09HTXs2dPl5SU5EqXLu169uzp+vXr584888xcH0fAQw895CpVquSOHDkSTBs3bpxLSEhw+/bti7mcw4cPu9KlS7unn3466vZor2vA/PnzXZEiRdyePXuyrSOrzyTnnAOWuyziJc2JFBEREZEc7du3jzvvvJOlS5eyZMkSatasSZs2bfjll18Ar2OiU6dO/Pbbb3zyySe8++67vPfee3z11Vdh5dx66628+eabTJo0ibVr1/LII4/Qt29fnn322bB8gwcPpmnTpqxcuZKHHnqI/v37M2/ePADefPNNqlevzv3338/27dvZvn07VapUiek4Ro4cyapVq3jrrbfYvHkznTt3Dm7bsWMHjRs3Zvfu3bzzzjusWrWKIUOGUKhQIRo3bsy4ceMAgnWOGTMmah0TJkxgwIAB9OvXj9WrV/PAAw/Qr1+/TMc4duxYUlJSWLZsGWPHjmXcuHE8//zzgDe8sUOHDlx88cV8+eWXfPnllwwaNIiEhIQsj23RokWYGfXq1YvpXIQaOnQoiYmJ2T6GDh0azL948WLatGkTVkabNm3YtGkTW7ZsianOw4cPM336dPbt28ell14KwMGDB/niiy+ilv3ZZ59x5MiRqGWtWLGCnj178tBDD7Fu3ToWLlxIt27dALJ97R566CHeeOMNXnjhBZYuXUqJEiUYP358WNkvvvhijucmtPd18eLFtG7dmkKF/hdqtWnThrS0tEzvh+ykp6dz8OBBSpQoEfM+AQ0bNuTIkSMsWrQo1/vGQsNZRURERCRHnTp1Cns+efJk3njjDWbPns2NN97I3Llz+frrr1m/fn1wUZIZM2ZQuXLl4D4bN27khRdeYM2aNZx99tkApKamsm7dOsaOHUuPHj2Cea+//npuvfVWAO666y7GjRvH3LlzadGiBWXLlqVw4cIkJiZSsWLFmI+hV69ewX+npqYyfvx46tWrx9atW6lUqRLjx4/HzHj77beDX9wDwwjhf8NWc6pz+PDh3H333dx2220A1KxZk3Xr1vH444+HHeOll15Kv379gnmmTp3K3Llz6dGjB3v37mXXrl106NCBmjVrBvNkZ+PGjZx22ml5Gsras2dPrrvuumzzlC1bNvjv7du3ZzoPgefbt28Pe90jzZo1i86dO5Oenk6pUqWYOXNmMPD9+eefOXz4cNSyDxw4wK+//kr58uUzlbl582ZKlCjB1VdfTVJSEgDnn39+cHu0127//v0888wzjB07lo4dOwLejwwLFixg9+7dwXyBYD47gToDx9+kSZNM7Q9si1Xv3r0pX758jq9LNCVKlKB06dJ89913ud43FgoiRURERCRHGzdu5JFHHmHp0qXs3LmTjIwM0tLS2LRpEwBr1qyhXLlyYatali1bllq1agWfL1++HOccF110UVjZhw8fzrTgSN26dcOen3766fz4449HdQwLFixg2LBhrFmzht27dwcXw9m0aROVKlVixYoVNG7cOE89PwF79uxhy5YtNG3aNCy9WbNmjBkzhrS0tGBvYrRj3LhxIwBlypThlltu4YorrqB58+Y0a9aMTp06hZ3PSOnp6XmeC1m2bNmwIPF4uvzyy1m5ciW7du3itddeo2vXrsydOzdPPagBrVq14owzziA1NZVWrVrRvHlzrrnmGsqVK5flPt9++y0HDhygcePGYemXXHIJs2bNCj4vWbIkJUuWzHPb8qJfv37MnDmT+fPnk5iYmKcyihcvTnr68VmwS0HkSSSnldtO9lXWRERE5MTVvn17ypUrx/jx46lSpQpFixblkksu4eDBg8E8Od28PBC0LVmyJNOwzMh9ixYtmmn70ayAunnzZtq1a0fXrl155JFHKFeuHFu2bKFly5Zhx5CfcjrGKVOm0KtXLz788EM++ugjBgwYwLhx47j99tujlle+fHl+/fXXTOmFChXKtCrpoUOHwp4PHTo0bLhqNP3796d///4ApKSksGPHjrDtgSA/JSUl23JKlCgR/LGhQYMGfP3114wYMYJXXnmFcuXKUaRIkahlFytWLMtANzExkeXLl7N48WLmzp3LxIkTefDBB5k3b15wwZ68evHFF7M85wE33XQTEydOBI7u3Djn6NWrFy+//DLz5s2jTp06eW53Vr22x4KCyJNITiu3aZU1EREROR5++eUX1qxZw/vvv88VV1wBwJYtW9i5c2cwz7nnnstPP/3Et99+GxwCumvXLr755pvgl/jA382bN9O+ffujalPRokWznB8XzRdffEF6ejqjR48mPj4e8ObRhapfvz5Tpkxh//79UXsjA0HfkSNHsrxVQ1JSEpUrV+aTTz4JO8aFCxeSmpqa7ZzGaM477zzOO+887rvvPnr27MnkyZOzDGjq1avHvn372Lx5M1WrVg2mJycns23btrC8X331VVhAltvhrE2aNGHOnDk88sgjwbTZs2dTrVq1bIeyRpORkcHvv/8OeOe4QYMGzJkzJzinMVD2n/70pyzPO0DhwoVp2rQpTZs2ZfDgwZx77rm89NJL1K9fP+prd+aZZ1K0aFGWLFlC7dq1g+UsXrw4rNzcDmdt0qQJ06dPJyMjIzgvcvbs2SQkJHDhhRdmWcaRI0e45ZZbmD17NgsWLAhrU26tX7+eAwcOZOr1P1YURIqIiIhItsqUKUP58uWZMmUKZ555Jr/88gsPPvhgMBgDaNmyJYFWoLQAACAASURBVBdccAFdu3ZlzJgxFC1alIcffpgiRYoEexlr1KjB3/72N2699VZGjBhBo0aN2L9/PytWrOCnn36ib9++MbcpNTWVxYsXs3nzZhISEihbtmzYQiaRatasiZkxatQobrzxRr7++mseffTRsDx33nknkyZNomPHjgwePJjTTz+d1atXU7hwYdq2bUtqaioA77zzDpdccgnx8fFRhxo+9NBD3H///dSsWZPLLruM+fPn88wzz2RasCU7GzZsYMqUKVx11VVUqVKFbdu28emnn2Y75LNu3bqkpKSwcOFCunbtGkxv2bIlEyZMoFOnTlSrVo2JEyeyadOmsKAwt8NZ7733Xho3bszDDz9M165dg4sDPfXUU8E8n3/+Od26deOFF16gYcOG/Pjjj0yYMIF27dpRsWJFdu/eHexxe+ONN4L7Pfjgg/z5z3+mYcOGtGnThvfee48333yTd999N8v2vP3223z33Xc0bdqU8uXLs2LFCn744QfOPfdcgCxfu549e/KPf/yDChUqUKtWLZ599lnWrVtHcnJysOzcDme94447GDduHLfeeiv33Xcf3377LQMGDODuu+8O/jixdetWWrRowbBhw+jUqROHDx+mS5cuzJ8/n5kzZ3LaaacFezMDi/eAt8DVhg0bAG8Roh07drBy5UoSExPDhpIvWLCAatWqHVUgmq2slm09lR8n6i0+clqKuyCWBxcREZHYncy3+FiwYIGrU6eOK1asmDvrrLPc66+/7s4880w3cODAYJ7vvvvOtWzZMuwWHw0aNHB///vfg3kOHz7s/vnPf7patWq5uLg4d9ppp7mmTZu6V199NZgHcNOnTw+rv0WLFsHbMjjn3BdffOEuvPBCV7x48Zhv8TFu3DhXuXJlV7x4cdekSRP3wQcfOMB9/PHHwTzr1q1zV199tUtKSnLx8fGuTp067r333gtu79WrlytfvnyOt/gYMWKEq169uitSpIhLTU2NeouP7G67sW3bNtepUydXqVIlV7RoUZeSkuJuueUWt3v37myPcdCgQa5Vq1ZhaXv27HE33XSTK126tCtfvrwbOHDgUd/iwznnZs2a5erUqeOKFi3qqlat6kaNGhW2PXBrjcD5/fXXX13Hjh1dSkqKi4uLcxUqVHAtW7Z0H3zwQaayp06d6mrWrOni4uLcWWedlel6iLRw4UJ3+eWXu3LlyrlixYq5GjVquGHDhoXlifbapaWludtuu80lJSW5pKQkd+uttx71LT6cc27p0qWuUaNGrlixYq5ChQquX79+7vDhw8HtGzdudICbOnVq2PNoj9D3WLTblQCZXsumTZuG3RYnK3m9xYe5iPHRAhdddJFbvnx5QTcjk+r93stxOGt+36hYREREYrd27VrOOeecTOk5rXtwPOTHWgp79+6lcuXKPPbYY9x9993HtS7x7Nq1i1q1ajFnzpxsh07KH9fnn39Ohw4d+Oabb8KG2UaT1WcSgJmtcM5FHQ+r4awiIiIiBeyPsjDeO++8Q5EiRTjnnHPYuXMngwcPxszydIsCyZsyZcowY8YMtm3bpiDyFPXjjz8yY8aMHAPIo5H1wPFjzMy6mtkKM9tlZulmttbM7rOQpbjM7GIzW2Jmv5vZdjMbZmaFI8pJMbNXzWyP/3jFzJIj8sSZ2Qi/jHQzW2RmR7csk4iIiIhkKy0tjT59+lC7dm3at29PRkYGixYtokKFCse97p49e2Z5I/jjNi/sBNW6dWuuvFKj005VV111FS1btjyudeRnT+ROYAiwDjgAXApMAI4AY8ysCvAR8AZwK1ATeA4woB+AmRUCZgEZQCt/2wRgppk1cf8bm/sE0BX4K/Ad8CAw18zOcc6Fr7crIiIiIsdE586d6dy5c4HU/eijj9KnT5+o2+Li4vK5NSJ/bPkWRDrn5kQkfWdmVwOXAWOAO4A9QA/nXAaw2swqASPMbIhzbj/QEqgHnO2cWwdeDyfwH6AZsMDMkoCewD3OuXf8PH8Ftvrpg47rgYqIiIhIvktOTg5bUVNEjp98G84ayjwNgSbAx35yE+BDP4AMmA0kABeG5NkYCCABnHOrgS3AJX5SfaCYv28gzxG8Xs5AHhEREREREcmDfA0izayUme3DG866BBjrnHva35wCRA413RGyLas8gXwpEXmjlZWCiIiIiIiI5Fl+r866F6iL17vYGBhmZtucc8/mczsyMbPbgNsAqlatWsCtEREREREROTHla0+kcy7DObfBOfdv59xEYATwuL95O1AxYpcKIduyyhPItz0ib7SytpMF59xk59xFzrmLypcvn/PBiIiIiIiInIIKZE5kRP3F/X8vBlr5K7AGtAHSgK9C8qSaWc1ABjM7F6gCLPKTVuANl70iJE8hvEV5AnlEREREREQkD/JtOKuZDQY+xbvlRhzQFOgLTPWzPAP8HZhiZk8CZ+LdEmSsvzIrwFzgS2CGmd2Nd4uP8cBnwEIA59weM5sIDDWz7cBG4AEgHph0vI9TRERERETkjyw/50QmAROBSsDveMHkQ34azrkfzKw18CReb+JuYDLwj0ABzrkMM2sPPA3MAxzwAXB3yD0iwQsaDwL/B5T2y2vlnMtyOKuIiIhIgXnqfPhtc/7WWaoq3Lsqf+s8gd18881s2bKFuXPnFnRTAOjQoQNNmzbN8t6Xkr0T7fXMrdtvv53ExERGjRpV0E2JzjmnR8Sjfv367kRUre+so9ouIiIiBWvNmjXRNwxMyt+GFFSdJ4Dp06c77ytwuN27d7tff/21AFqU2dy5c12FChVcenr6ca/rvffecxdccIErWrSoq1atmhs1alSO+9x///2uVq1arkSJEi4pKck1atTIzZoV/j30iSeecOedd54rWbKkK1GihKtbt66bNm3aUbV1yJAhrlq1ajHl7d69u2vRosVR1ZeXczNp0iTXvHlzV7ZsWQe4Tz/9NFOen376yd12222ucuXKrnjx4q5Bgwbu448/DsuzZcsWl5CQ4L799tujOoacZPmZ5JwDlrss4qWCnhMpIiIiIlLgSpUqRZkyZQq6GQA8+eSTdOvWjeLFi+ec+SgsX76cjh070rZtW1auXMmgQYPo378/EydOzHa/2rVrM378eL7++muWLVtG06ZN6dixIytWrAjmqV69OiNGjGD58uWsXLmSrl270qNHD95+++3jekzHSl7PTVpaGs2bN2fEiBFRtzvn6NSpEytWrOBf//oX//73v2ndujVt2rThP//5TzBfpUqVaNGiBRMmTDimx3XMZBVdnsoP9USKiIjI8XCy90Q+/fTTrlatWq5YsWKuRo0a7rHHHnOHDh0Kbq9WrZobMGCAu+eee1yZMmVccnKy6927dzDP5MmTXVJSUqYetuHDh7sqVaq4I0eO5NiG0aNHuwsuuMCVKFHCVahQwV1//fVu27ZtYXk2bNjgrr32WlemTBkXHx/vzj//fPfuu++6jz/+2OFNhwo+unfv7pzL3HOVkZHhnnjiCZeamuri4uLcGWec4Z566qmwenI6Xuec+/TTT13jxo1dYmKiS0xMdHXq1HGzZ8/O8vh+/vlnV6hQIbd48eJMdQ0ZMiQsrUePHq5Zs2Y5nrOsdOnSxTVq1CgsrU+fPjH39oUqXbq0Gz16dLZ56tat63r37p1tnscff9ylpqa6okWLunLlyrnWrVu7tLQ0N3Xq1Eyv3cCBA51zzv3yyy/uuuuucwkJCS45Odk9/PDDrlu3bkfVE3m052bjxo1ReyLXr1/vALd06dKw9Dp16rhu3bqFpT333HOuYsWKuW98LqgnUkRERESOm0GDBjFy5EiGDRvG2rVrGTNmDJMmTWLw4MFh+caOHUtKSgrLli1j7NixjBs3jueffx6A6667joMHD2bqjXrhhRe46aabKFQotq+mI0eOZNWqVbz11lts3ryZzp07B7ft2LGDxo0bs3v3bt555x1WrVrFkCFDKFSoEI0bN2bcuHEAbN++ne3btzNmzJiodUyYMIEBAwbQr18/Vq9ezQMPPEC/fv149tnw25tnd7yHDx+mQ4cOXHzxxXz55Zd8+eWXDBo0iISEhCyPbdGiRZgZ9erVi+lchBo6dCiJiYnZPoYOHRrMv3jxYtq0aRNWRps2bdi0aRNbtmyJqc7Dhw8zffp09u3bx6WXXho1T0ZGBrNnz2bdunVcfvnlWZb15ptvMnz4cMaMGcP69ev56KOPaNu2LQDXX389ffv2pXLlysHXLjBftEePHqxYsYJ3332X+fPn8/333/PWW28V+LmJ5vfffwfI1MscHx/PJ598EpZ28cUXs2PHDtauXZvn+o6X/FxYR0REREROQmlpaYwYMYI333wz+MU6NTWVxx57jHvuuYchQ4YE81566aX069cPgJo1azJ16lTmzp1Ljx49KFWqFB07duSFF17g+uuvB7xhg2vWrOHNN9+MqS29evUK/js1NZXx48dTr149tm7dSqVKlRg/fjxmxttvv02JEiUAOPPMM4P7lCpVCoCKFaPdevx/hg8fzt13381tt90WPJZ169bx+OOP06NHj5iOd+/evezatYsOHTpQs2bNYJ7sbNy4kdNOOy1PQ1l79uzJddddl22esmXLBv+9ffv2TOch8Hz79u1Urlw5y3JmzZpF586dSU9Pp1SpUsycOTNT4Ltq1SoaNWrE77//TlxcHOPHj6dDhw5Zlrlp0yYqVqxImzZtiIuLo2rVqtStWze4PTExkcKFC4e1ecOGDcycOZMPP/yQ5s2bA/Dcc8+RmpoaVnZ+npvsnH322aSmpvLwww8zdepUypYty4wZM/j888+Ji4sLyxuo47vvvuOcc87JU33Hi4JIEREREcnW6tWrSU9P59prr8XMgulHjhzh999/56effqJ8+fIAYV/6AU4//XQ2btwYfN69e3c6dOjAzp07SU5O5oUXXqBhw4bUqlUrprYsWLCAYcOGsWbNGnbv3k1GRgbgBSCVKlVixYoVNG7cOBhA5sWePXvYsmULTZs2DUtv1qwZY8aMIS0tLdibmN3xlilThltuuYUrrriC5s2b06xZMzp16pTtsaanp+d5LmTZsmXDAqHj6fLLL2flypXs2rWL1157ja5duzJ37tywQLJWrVqsXLmSvXv38uGHH9K7d29SUlKCvYuRrrvuOp5++mmqVatG69atadGiBVdffTUlS5bMsh1r1qwBoHHjxsG0okWL0qBBA/bt2xdMy89zk50iRYrw1ltvccstt1ChQgUKFy5Mw4YNufHGG3n99dfD8gaug/T09IJoarY0nFVEREREshUI1F577TVWrlwZfKxatYr169eHfTkvWrRo2L5mFtwfoHXr1pQrV46XXnqJQ4cO8corr9C9e/eY2rF582batWtH9erVeeWVV1i+fDnvvPMOAAcPHjzaw8yTnI53ypQprFixglatWrFw4ULOO+88Jk3K+tbl5cuX59dff82UXqhQIbxpav9z6NChsOe5HbKZkpLCjh07wsr48ccfg9uyU6JECWrUqEGDBg0YMWJE8G+ookWLUqNGDS688EL69u1Lly5dMg1/DlWpUiX++9//8txzz5GcnMyQIUOoVasWP/zwQ7ZtiUV+npucXHDBBXzxxRfs2bOHrVu3smTJEg4cOBDWYw4Er4PADzQnEvVEioiIiEi2ateuTfHixfnuu+9o167dUZVVuHBhbrzxRqZPn84ZZ5zBb7/9FjanMTtffPEF6enpjB49mvj4eICwFUEB6tevz5QpU9i/f3/U3shA0HfkyBEKFy4ctZ6kpCQqV67MJ598Qvv27YPpCxcuJDU1Nds5jdGcd955nHfeedx333307NmTyZMnc/vtt0fNW69ePfbt28fmzZupWrVqMD05OZlt27aF5f3qq6/CAvjcDtls0qQJc+bM4ZFHHgmmzZ49m2rVquV6uGZGRkZwvt/R5ClWrBht2rShTZs2DBkyhAoVKjBz5kzuvvtuihYtypEjR8Lyn3vuuQAsWbKEVq1aAd4PCl988UXYENCCPDdZKVmyJCVLluSXX35hzpw59O7dO2z7qlWrKFy4MBdeeOExqe9YUhApIiIiItlKTEykf//+9O/fHzOjZcuWHD58mFWrVvHVV1/xz3/+M1fldevWjVGjRjFw4EDat28f8zDDmjVrYmaMGjWKG2+8ka+//ppHH300LM+dd97JpEmT6NixI4MHD+b0009n9erVFC5cmLZt2wbnyr3zzjtccsklxMfHk5iYmKmuhx56iPvvv5+aNWty2WWXMX/+fJ555hnGjx8f83Fu2LCBKVOmcNVVV1GlShW2bdvGp59+mu2iOXXr1iUlJYWFCxfStWvXYHrLli2ZMGECnTp1olq1akycOJFNmzaFnbvcDtm89957ady4MQ8//DBdu3YNLg701FNPBfN8/vnndOvWLTjs+Mcff2TChAm0a9eOihUrsnv3bl5++WXmzZvHG2+8Edzvvvvuo1OnTlSpUoX9+/fz/vvvM23atCxvfQHw7LPPkpGRQcOGDSldujTz5s1j7969wUAxNTWVHTt2sHTpUmrWrElCQgI1atSgQ4cO3HXXXUyaNIkKFSowfPhw9u7dG1Z2fpwb8BZ22rFjRzDg37BhA4mJiVSsWDE4p/KNN96gdOnSnHHGGaxbt44HHniASpUq8cADD4S1YcGCBVxyySUkJSXF3O78oiBSREREpKCVqgqDSuV/nbkwYMAAUlJSGDduHPfffz/x8fGcddZZ3Hzzzbmuuk6dOtStWzd4/73c7Dd27FiGDx/O448/Tv369Rk9enTYHLuUlBQWLVpE3759adeuHYcOHaJmzZoMGzYMgAYNGtCrVy9uv/12fvrpJ7p37860adMy1XXHHXewf/9+hg4dyp133kmVKlUYPnx42KI6OSlRogTr16+nc+fO/PTTT5x22mlceeWVjBw5Mst9ChUqxO2338706dPDgsi+ffuyadMmrr/+euLi4rjzzjv5y1/+woYNG2JuT6QGDRowc+ZM+vfvz8iRI6lYsSKPP/44PXv2DOZJS0tj3bp1pKWlAV5P7tdff82UKVP4+eefKVu2LOeffz7vv/9+2Gqm27Zt46abbmLHjh2ULFmSWrVq8fzzz3PDDTdk2Z4yZcowcuRIHnzwQQ4cOMAZZ5zB5MmTadGiBQBXX301f/nLX7jyyivZtWsXAwcOZNCgQTz33HPccccdtG/fnoSEBG655RY6derE1q1b8/XcAEycODFsyO5f//pXgGBbwQs077vvPrZv385pp53G1VdfzZAhQ8J+zHDO8dJLL4UNsT2RWOTYaoGLLrrILV++vKCbkUn1fu/x/fAr87xdRERECtbatWtPuFUW5cSza9cuatWqxZw5c07IoYxy/L366qsMGTKElStXZjns+ljI7jPJzFY45y6Ktk0L64iIiIiInEDKlCnDjBkzMs2BlFPHgQMHmDp16nENII+GhrOKiIiIyAmhZ8+ezJgxI+q2atWqsXr16nxuUcFp3bp1QTdBClDoUOYTkYJIERERETkhPProo/Tp0yfqtsgbsYtIwVEQKSIiIiInhOTkZJKTkwu6GSKSA82JFBEREclHWtRQRE4ER/NZpCBSREREJJ/ExcWRnp5e0M0QESE9PT3Pw8QVRIqIiIjkk+TkZLZu3UpaWpp6JEWkQDjnSEtLY+vWrXkePq45kSIiIiL5JCkpCfBuxH7o0KECbo2InKri4uKoUKFC8DMptxREioiIiOSjpKSkPH9xExE5EWg4q4iIiIiIiMRMQaSIiIiIiIjETEGkiIiIiIiIxExBpIiIiIiIiMRMQaSIiIiIiIjETEGkiIiIiIiIxExBpIiIiIiIiMRMQaSIiIiIiIjETEGkiIiIiIiIxKxIQTdAROQP4anz4bfNWW8vVRXuXZV/7RERERE5ThREiogcC79thkG/Zb19UKn8a4uIiIjIcaThrCIiIiIiIhIzBZEiIiIiIiISMwWRIiIiIiIiEjMFkSIiIiIiIhIzBZEiIiIiIiISMwWRIiIiIiIiEjMFkSIiIiIiIhIzBZEiIiIiIiISMwWRIiIiIiIiEjMFkSIiIiIiIhIzBZEiIiIiIiISMwWRIiIiIiIiEjMFkSIiIiIiIhIzBZEiIiIiIiISMwWRIiIiIiIiEjMFkSIiIiIiIhIzBZEiIiIiIiISMwWRIiIiIiIiEjMFkSIiIiIiIhIzBZEiIiIiIiISMwWRIiIiIiIiEjMFkSIiIiIiIhKzfAsizewBM1tqZrvMbLeZLTKzNhF5bjYzF+XRMiLfWWY2x8zSzOxnM5toZiUi8pQ0sylm9ouZ7TezD8zszPw4VhERERERkT+q/OyJbA48B1wONASWALPMrElEviNASsTjk8BGM0sE5gGHgcbAdUAb4NmIcqYDLYA/A5cABnxkZvHH9KhEREREREROIUXyqyLnXNuIpAf9nshrgMUReXdkU9QNQDngBufcbwBmdhdeQPqQc26jmZ0FdASucM597OfpAuwArgemHYNDEhEREREROeUU2JxIMysEJAH7IzYVNrPvzGy7mS0ws/YR25sASwMBpO9DIMPfFshzCK/HEgDn3C7gc7xeSREREREREcmDglxYpz9QGpgckrYO+BveENRrgC+Bd82sR0ieFLwexSDn3CHgV39bIM/PzrkjEXXuCMkjIiIiIiIiuZRvw1lDmdmdeEFkB+fclkC6c24psDQk61IzOw3oS+Y5j8e6TbcBtwFUrVr1eFYlIiIiIiJy0sr3nkgz6wM8gRdAzo1hlyVA9ZDn24GKEWXGAWX9bYE85cyscERZFULyhHHOTXbOXeScu6h8+fIxNEtEREREROTUk69BpJk9CgwE2sUYQALUA34Ieb4YaGRmSSFprfCOZXFInji8FWEDdZcGLgYW5a31IiIiIiIikp/3iRwNPAB0BdaZWUX/USokzyAza2dmNcystpkNBG4Bngwp6iXgZ+AlM7vAzC4HxgP/cs5tBHDOfQO8DTxjZs3MrK6/31bgX/lwuCIiIiIiIn9I+Tknspf/962I9OeBm/1/J+EFhBWBdOC/wHXOuTcCmZ1z+8ysJTAWb/5kOvA6cF9EuV3xgs+3gOJ495ps7ZxLP0bHIyIiIiIicsrJz/tEWgx57iNzMBgt3zqgdQ559gK3+g8RERERERE5BgryFh8iIiIiIiJyklEQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjFTECkiIiIiIiIxUxApIiIiIiIiMVMQKSIiIiIiIjErUtANEBGRE9RT58Nvm6NvK1UV7l2Vv+0RERGRE4KCSBERie63zTDot+jbBpXK37aIiIjICUPDWUVERERERCRmCiJFREREREQkZgoiRUREREREJGYKIkVERERERCRmCiJFREREREQkZgoiRUREREREJGYKIkVERERERCRmCiJFREREREQkZgoiRUREREREJGYKIkVERERERCRmCiJFREREREQkZgoiRUREREREJGb5FkSa2QNmttTMdpnZbjNbZGZtouS72MyWmNnvZrbdzIaZWeGIPClm9qqZ7fEfr5hZckSeODMb4ZeR7tdX/3gfp4iIiIiIyB9ZfvZENgeeAy4HGgJLgFlm1iSQwcyqAB8B64D6wB3A7cDjIXkKAbOAVKAV0Bo4C5hpZhZS3xNAD3//BsB3wFwzq3icjk9EREREROQPr0h+VeScaxuR9KDfE3kNsNhPuwPYA/RwzmUAq82sEjDCzIY45/YDLYF6wNnOuXUAZtYV+A/QDFhgZklAT+Ae59w7fp6/Alv99EHH70hFRERERET+uApsTqTfo5gE7A9JbgJ86AeQAbOBBODCkDwbAwEkgHNuNbAFuMRPqg8U8/cN5DmC18sZyCMiIiIiIiK5lG89kVH0B0oDk0PSUvhfr2TAjpBtgb87yGxHRB6i5NuB14uZiZndBtwGULVq1Ryafop56nz4bXPW20tVhXtX5V97RERERESkwBRIEGlmd+IFkR2cc1sKog2RnHOT8QPaiy66yBVwc04sv22GQb9lvX1Qqfxri4iIiIiIFKh8H85qZn3wFr3p4JybG7F5OxC58E2FkG1Z5Qnk2x6RN1pZ2xEREREREZE8ydcg0sweBQYC7aIEkOANZW3lz5cMaAOkAV+F5Ek1s5oh5Z4LVAEW+UkrgAPAFSF5CuEtyhPIIyIiIiIiIrmUn/eJHA08AHQF1plZRf8ROhbyGaAUMMXMaptZB2AIMNZfmRVgLvAlMMPMGprZxcALwGfAQgDn3B5gIjDUzNqbWW2824vEA5OO+8GKiIiIiIj8QeXnnMhe/t+3ItKfB24GcM79YGatgSfxehN3481T/Ecgs3Muw8zaA08D8wAHfADc7ZwLncv4AHAQ+D+8BXxWAK2ccxrOKiIiIiIikkf5eZ9IizHfZ0DjHPJsB/6SQ55DwIP+Q0RERERERI6BArtPpIiIiIiIiJx8FESKiIiIiIhIzBREioiIiIiISMwURIqIiIiIiEjMFESKiIiIiIhIzBREioiIiIiISMwURIqIiIiIiEjMchVEmtkaM+ttZmWPpnMm4wAAIABJREFUV4NERERERETkxJXbnsjXgfuArWb2kpk1Ow5tEhERERERkRNUroJI59wjQHXgz0A88JGZrTOzPmZW7ji0T0RERERERE4guZ4T6ZzLcM6955zrBFQBZgBDgC1m9i8zu/hYN1JERERERERODHleWMfMagD3AncB6cBkoAjwqZkNPDbNExERERERkRNJbhfWKWpmXcxsPrAOaAr0BU53zt3jnLsWuBpv3qSIiIiIiIj8wRTJZf7teIHnS0Bv59y/o+RZCuw52oaJiIiIiIjIiSe3QeSDwMvOubSsMjjnduHNlRQRERH5//buPVySqjDX+PtxnVF05pxAYBxECN4iIRJEvIyiQUSiRo8xxuAJikExxkiCJxo0Grcx6qh5xHgX1KhR1NyURMWAIkZGjHcFVHK8DMgwoxid8UQHUFjnj66NPT19qe7dvbu69/t7nn727qpV1atm13T3V2vVWpKkOTPsPZHvA/bpXJhkbZL9xlMlSZIkSVJTDRsi3ws8qcvyU2h1cZUkSZIkzbFhQ+R9gY91WX5xtU6SJEmSNMeGDZG3BX7aZfnNwO2WXh1JkiRJUpMNGyK/Bjymy/LH0JryQ5IkSZI0x4YdnfWvgbcnOQC4qFp2IvAM4LRxVkySJEmS1DxDhchSynlJbgssAGdWi7cCZ5RS3jXmukmSJEmSGmbYlkhKKecC5yZZVz3fOvZaSZIkSZIaaegQucjwKEmSJEkrz1AhMslq4E+BE4AD6RiYp5Ry1/FVTZIkSZLUNMO2RL6e1kis/wB8HChjr5EkSZIkqbGGDZGPBh5fSrlwEpWRJEmSJDXbsPNE/hT49iQqIkmSJElqvmFD5BuAp06iIpIkSZKk5hu2O+sdgN9JcjzwJeCm9pWllD8cV8UkSZIkSc0zbIg8Ariy+v1uHescZEeSJEmS5txQIbKU8sBJVUSSJEmS1HzD3hMJQJLbJrlnkr3HXSFJkiRJUnMNFSKTrE7yVuBHwBeAO1bL35DkeROonyRJkiSpQYZtifxL4N7ACcDOtuUXAY8dV6UkSZIkSc007MA6jwWeVEr5ZJL2gXSuBA4fX7UkSZIkSU00bEvkOuCaLsv3Arw/UpIkSZLm3LAh8irg/l2WPwr48tKrI0mSJElqsmG7s74SeE2S1UCAByZ5CnAmcPK4KydJkiRJapZh54l8dxUgXwTcBvhbYCvw9FLKByZQP0mSJElSgwzbEkkp5S3AW5IcBOxRSrlu/NWSJEmSJDXR0CFyUSll2zgrIkmSJElqvqFCZJL/C5Re60spd11yjSRJkiRJjTVsS+S7Op7vDRwN3A943VhqJEmSJElqrGEH1nlRt+VJngscOJYaSZIkSZIaa9h5Inv5B+CUMe1LkiRJktRQ4wqRvwr8dEz7kiRJkiQ11LAD67yhcxFwB+BE4JxxVUqSJEmS1EzDDqxzZMfzW4DvAX8CvHUsNZIkSZIkNdawA+s8cFIVkSRJkiQ137juiZQkSZIkrQDD3hN5AVDqlC2lPHykGkmSJEmSGmvYlsjvAxuAXwNurh5HAfcH/qvjsZskxyU5P8nVSUqS53esP7Va3vk4oaPcXZP8W5KfJPl+kjcluW1HmdslOTfJfyX5cZILkhw+5PFKkiRJktoMO7DON4EPAU8updwIkGRfWoPqfLuU8hcDtt8P+CpwHvDqHmVuBg7uWPaDxV+S7Ad8DPgKrfD6P4G3AWuB323b5u9oTT3y28B24GXARUmOKKXsHFBPSZIkSVIXw4bIpwEPWQyQAKWUG5O8jFaw6xsiSykfBj4MkOTlfcpt67ObJwD7A08opeyo9vUM4INJnltK+XaSuwKPBh5WSvl4VeZkYBvweODtgw5UkiRJkrS7Ybuz3o5WgOv0C7RaGcdhzyTfSrI1ySVJHtmxfgNw2WKArFxIa7qRDW1lfkor2AJQSvkh8BngAWOqpyRJkiStOMOGyAuAc6p7G/epHg8C3lStW6qrgN+n1QX1t4AvAP+a5LS2MutotSjeqpTyU1pdXte1lfl+KeXmjv1vayuziySnJ/lcks9df/31Sz4QSZIkSZpHo3RnfQdwCa2WP4DQCpBPW2plSimXAZe1LbosyS8Af0brvsuJKaWcA5wDcMwxx9QagVaSJEmSVpqhQmQp5QfAbya5O/DL1eKvllKuGnvNfu5TwMltz7cCd2wvkGRvWgPsbG0rs3+SPTtaIw8E/nOCdZUkSZKkuTZsd1YASilfBy4GPjDhAAlwNPCdtuebgPsluX3bsofSOpZNbWX2Bo5fLJBkLXAf4NKJ1laSJEmS5thQITLJnklekOR6WnNBHlYtf2mSp9bYfr8kRyU5CtgHOKh6fudq/UKShye5c5IjkrwQeArwqrbdnEdrvsrzktwzya8DrwfeV0r5NkAp5T+B84E3JnlQ9XrnAVuA9w1zzJIkSZKknxu2JfLZwFOB5wA3tS2/HHhyje2PAb5YPdYBz6h+f0u1/va0AuHlwCeBhwG/U0p5/eIOSin/DZxAK4ReBvwjrdFZ2wffATgF+DjwflpdYvcATnSOSEmSJEka3bAD65wKPK2UckGS17Qt/zJwt0Ebl1IuoTUQT6/1zwKeVWM/VwEnDijz/2gF3oEtpJIkSZKkeoZtibwT8NUuy38K3Gbp1ZEkSZIkNdmwIfJq4Mguyx8CfH3p1ZEkSZIkNdmw3VnfCPxNkp9Uzw9LcgLwMlr3S0qSJEmS5tiw80T+TZIDgA8Cq4CLgBuBl5dS3tJ3Y0mSJEnSzBsqRCbZE3gBrZbHI2l1h728GsRGkiRJkjTnaofIJHsBNwBHlVKuAD49sVpJkiRJkhqp9sA6pZSfAdfSZ4oOSZIkSdJ8G3Z01rOBFyTZdxKVkSRJkiQ127Cjs54EbAC2JLkS+HH7ylLKw8dVMUmSJElS8wwbIr8PnD+JikiSJEmSmq9WiEzyO8AHSimnTLg+kiRJkqQGq3tP5HuAtYtPknwtySGTqZIkSZIkqanqhsjOEVkPZviusJIkSZKkGTfs6KySJEmSpBWsbogs1aNzmSRJkiRpBanbJTXAPyS5qXq+Cnhnkp3thUopJ46zcpIkSZKkZqkbIt/R8fxd466IJEmSJKn5aoXIUsqTJ10RSZIkSVLzObCOJEmSJKk2Q6QkSZIkqTZDpCRJkiSpNkOkJEmSJKk2Q6QkSZIkqTZDpCRJkiSpNkOkJEmSJKk2Q6QkSZIkqTZDpCRJkiSpNkOkJEmSJKk2Q6QkSZIkqTZDpCRJkiSpNkOkJEmSJKk2Q6QkSZIkqTZDpCRJkiSpNkOkJEmSJKm2vaZdAUmSxubsI2HHNd3XrTkEzrx8eesjSdIcMkRKkubHjmtgYUf3dQtrlrcukiTNKUOkpJXFlipJkqQlMURKWllsqZIkSVoSB9aRJEmSJNVmiJQkSZIk1WaIlCRJkiTVZoiUJEmSJNVmiJQkSZIk1WaIlCRJkiTVZoiUJEmSJNVmiJQkSZIk1WaIlCRJkiTVZoiUJEmSJNVmiJQkSZIk1WaIlCRJkiTVZoiUJEmSJNVmiJQkSZIk1basITLJcUnOT3J1kpLk+V3K3CfJp5LckGRrkpcl2bOjzLokf5/kR9XjvUl+saPM3kleUe1jZ5JLk9xr0scoSZIkSfNsuVsi9wO+CjwH2Na5MskdgYuAq4B7AU8Hnga8pK3MHsAHgcOAhwInAncFPpAkbbt7JXBatf29gW8BH01y0NiPSpIkSZJWiL2W88VKKR8GPgyQ5OVdijwd+BFwWinlFuDKJOuBVyR5cSnlx8AJwNHA3UspV1X7OgW4AngQcEmS2wN/AJxRSvmXqsyTgS3V8oXJHaUkSZIkza+m3RO5AbiwCpCLPgLcBvi1tjLfXgyQAKWUK4FrgQdUi+4F7Fttu1jmZlqtnItlJEmSJElDalqIXMfu3Vy3ta3rVWax3LqOst32tY4ukpye5HNJPnf99dcPVWlJkiRJWimaFiKnppRyTinlmFLKMQcccMC0qyNJkiRJjdS0ELkV6Bz45sC2db3KLJbb2lG22762IkmSJEkaSdNC5CbgodUIrItOAn4CfLGtzGFJ7rJYIMk9gDsCl1aLPg/cCDysrcwetAblWSwjSZIkSRrScs8TuV+So5IcBewDHFQ9v3NV5I3AGuDcJEckeRTwYuC11cisAB8FvgC8K8mxSe4DvBP4NPAJgFLKj4A3AS9N8sgkRwBvA1YDb16eo5UkSZKk+bOsU3wAxwAfb3v+jOrxCeDBpZTvJDkReBWt1sTtwDnA8xc3KKXckuSRwGuAjwEFuAB4ZimltO372cBNwFuAtdX+HlpKsTurJEmSJI1oueeJvATIgDKfBu4/oMxW4HEDyvwUeE71kCRJkiSNQdPuiZQkSZIkNZghUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJUmyFSkiRJklSbIVKSJEmSVJshUpIkSZJU217TroAkzaMNGy9my/adtz7fvAoOPetDtz5fv3Y1m846fhpVkyRJWhJDpCRNwJbtO9m88RE/X7DALs/bA6UkSdIssTurJEmSJKk2Q6QkSZIkqTZDpCRJkiSpNkOkJEmSJKk2Q6QkSZIkqTZDpCRJkiSpNkOkJEmSJKk254mUpKY7+0jYcU33dWsOgTMvH9tLbdh4MVu27wRg86pd57Ncv3Y1m846fmyvJUmSZpMhUpKabsc1sLCj+7qFNWN9qS3bd7J54yOqffPz39k1UEqSpJXL7qySJEmSpNoMkZIkSZKk2gyRkiRJkqTaDJGSJEmSpNocWEdS8/QbjRTGPiLpNKxfu7rnQDWOgipJkprMECmpefqNRgpjH5F0GvqFREdBlSRJTWZ3VkmSJElSbYZISZIkSVJtdmeVpIbpvF9y86pdu7h6z6QkSZqmxoXIJAvAC7usuksp5RtVmfsAZwNHAz8E3g48v5Ryc9t+1gF/A5xULfowcEYp5XsTq7wkjcFuAXEBNm98xK1PvWdSkiRNU+NCZGUzcL+OZdcDJLkjcBHwT8BTgbsAbwMCnFWV2QP4IHAL8NBq3RuADyTZUEopkz8ESZIkSZo/TQ2RN5dStvVY93TgR8BppZRbgCuTrAdekeTFpZQfAyfQaqW8eynlKoAkpwBXAA8CLpn0AUjSpLR3d7WrqyRJWm5NDZEHJ7m2+v1y4MWllE9VzzcAF1YBctFHgNcBvwZcWpX59mKABCilXFnt8wEYIiUt0YaNF7Nl+85bn3cLc5OyS0hcsKurJElaXk0MkZ8Bngx8Fbg98DTgk0lOKqVcBKwDNnVss9hqua7tZ7eWzG1tZXaR5HTgdIBDDjlkKfWXtAJs2b5zl/DWGeYkSZLmVeNCZCnlwx2LPpnkYODZtO6FnNTrngOcA3DMMcd4z6QkSZIkdTEr80ReBhxa/b4VOKhj/YFt63qVWSy3tctySZIkSVINsxIijwa+U/2+CXhoNQLropOAnwBfbCtzWJK7LBZIcg/gjrTumZQkSZIkjaBxITLJq5Icn+SXkhyV5PW0pul4dVXkjcAa4NwkRyR5FPBi4LXVyKwAHwW+ALwrybHVvJLvBD4NfGJZD0iSJEmS5kjj7omkNfDNO4EDgB3AV4ATSikXA5RSvpPkROBVwOeB7bTuZXz+4g5KKbckeSTwGuBjQAEuAJ7pHJGSJEmSNLrGhchSysk1ynwauP+AMluBx42rXpIkSZKkBoZISVIzrV+7+tZ5KDvnxVxcv8sclpIkaS4ZIiVJtewSEBd2nxezM1RKkqT51LiBdSRJkiRJzWVLpCStIBs2XsyW7Tt7rl+/dvUy1kaSJM0iQ6QkzZH2+xZ7re/shipJkjQMQ6QkzREHtpEkSZNmiJSkHvp1/bTbpyRJWqkMkZLUw5btO+36KUmS1MHRWSVJkiRJtdkSKc27s4+EHdf0Xr/mEDjz8uWrjyRJkmaaIVKadzuugYUdvdcvrFm+umiu9RsZdv3a1Q76I0nSnDBESpLGol9I7DftiCRJmi2GSEnS1PUbCXcQWzklSVpehkhJ0tQtZSRcWzklSVpejs4qSZIkSarNlkhJK1ZnF8rNq3Zt1Vq/dvU0qiVJktRohkhJK9ZuXSgXGLlLpSRJ0kphiJQkTVy/6T8W10uSpNlgiJQkTZyjp0qSND8MkZIkaWU7+0jYcU3v9WsOgTMvX776SFLDGSIlSdLKtuMaWNjRe/3CmuWriyTNAKf4kCRJkiTVZoiUJEmSJNVmd1ZJ0lxbnA+0cx7QRevXrp7uwD/97sebxXvxvL9QkuaeIVKSNNdunQ90ofs8oP2mHlkW/e7Hm8V78by/UJLmniFSkqQeFlsxe5l6K6YkSVNgiJQkqYdbWzF7mHorpiRJU2CIlCStaOvXru4ZBtevXb3MtZEkqfkMkZJGN28DgmhFsjuqJEnDMURKGt28DQiimdTekthtBNZJtiYOasU0oEqS5pEhUpI003YJagvdR2Bdltfu4P2SkqR5tce0KyBJkiRJmh2GSEmSJElSbXZnlTr1GywGHDBGkiRJK5ohUurUb7AYcMAYSZIkrWiGSEnS8rK1X5KkmWaI1GT5ZVFTtmHjxWzZvvPW5+1TQDiR/JTY2i9J0kwzRGqy/LKoKduyfeeuUz4sLO8UEJIkSfPG0VklSZIkSbUZIiVJkiRJtdmdVZKkCVi/dvWt99/2Wr/prOOXsUaSJI2HIVKSpAkYFBD7BUxJkprMEClJkjRrHP1c0hQZIiXV0jlVBuw+XcY0uuZ1q1c7p/FQUy12d23/f9S5ftNSXsCQMd8c/VzSFBkiJdWy21QZsMt0GdPqmte1XtIMuPWiy0L3aWcOPetDsGoJL7CUkGEA1TT0O+8856RGMURKGovOQUSGaaXsbE3s1TLTa9+SxsxWrmVRpyfFihp8qd9518RzbhYvtsxinQfx4sNUGCJnyKX7ngELT+i5/rJVB3DoWaPte8V9UGnsdjt/Fuq3Uu7WmrjQvWWm9npJzbXmkN6BYClf+Gbwy/GgnhQOvtRws3ixZRbrPMisXXyYE4bIGXJwvt/3P/66hTUjf7GeyQ8qrzwNbdB9jf3Y4qcVbQYDSmP1+3ca9IVv0Pv+vH05lqSGMkQKGNDKueaQJe27X3edzQPu9+m/7TVsWPX+7i2oTf2yMOXgO+i+Rkk9TOHq/fq1q+GG0S7yLXlQnqYa9HeQJC0LQ6SAVivnoTec133lDbB+48V9u7v2+pKzGBJ7hpSF/l+Q1q9d3XfbXq9dp3VtKl14V2iXizqTrkva1aazjh/5Is+SB+XR2PS7GOp7n6RZZYjUrfp9Udmw8eK+QbFf0BsU1JbSCtZz3wuD99sv1AxqPd0wIFRPS51pOKahif9WK4bdvtVh8X2i38W2fuvmtpVzQpYygnS/C3BN/iySNP/mOkQmeTjwUuCXga3Aa0opr5purWZT3w+phWWrxlj1+nCu03oKo3UxG/VL26X7ntG6J7aHa8v+PODG13RvuV0YEKgnNciF6qtzv92oVmjr94rR49zZvKp6X+gx/+TmjY/o/97QZ52tnLsaNMLqZav+uP/tIn3eYwd99vZ73Ynx/mCNwvNm7sxtiExyDHA+8NfAycB9gDcl+Ukp5U1TrZx+bloB5uwj2XTDNd2/CK05hE1n9r+yO/KV34XRvrSx8IS+9wEdvIRBlZY0yEU//f62i+tH/fvOW/Cdxfu8Jvn3nZZBrbZN1OfcORjYPIGX7Hev5qBWykGBayktoIO6jU6q9fR9O5/Kwat6X+Rr/V+YzIWcQS2Vo16Y7Pv/d9D71dlHNu/9eRYDzLz1Iuk4b3ab2osnjGVaMGcbWD5zGyKBZwGfLaU8t3r+tSRHAGcBhsimmFSAGWRSX9on2aI0awZ9wC3l7zut82YWQ8akTPLvO62LBL4v1NLvXs1BrZQDu3b22C+0vjje+hpd9LuHftC2w8xNu/u6/iOnL8mA95y+FzwX+l+Y3LDq/b1v26D3dGIDnXl5z0DfHhS6vm6/LroDLlxdW/bn8avP7b5tjYGxBl3g6FXfOufNSMGmZi+SYeu9lHN9mIsPg+Z/3u3/68J4pgXrvP2q7gj07fWaRAidxzlh5zlEbgDe2rHsI8CfJjm4lHLtFOqkeTeLLUqqz7/v8pjWRYJJWUHnzaARZZdyX/ZSBhoauO2g/Q7YdmImeO4M6io7auCGPoF+YfC/M/Ta/8a+X7QPrt4bRhls79J992fTDY/p2Tup53vSQr3zptu4ErVuU6nxN+j6bz3g4sPmhVHP9Z/3iuo6BkNHa+JQ8z+3WcpgfP3mrK6j/W81MDT3sXib0aK+A0Uym1PtzXOIXAds61i2rW2dIVKSpDFaStBTs4wcuJdoKa0xow+21y9ULf3CVfepyAbcpkKf7ugLA45nGS5cdT+mJZwbbS3Nm2DXQD+p21+67HuX4xrwN+pnSbcZzYiUUqZdh4lIchPwR6WUc9qWHQFcARxbSvlsR/nTgdOrp3cDrlquug5hf2C0SyLSYJ5fmjTPMU2S55cmyfNLk9TU8+tOpZQDuq2Y55bIrcBBHcsObFu3iypsntO5vEmSfK6Ucsy066H55PmlSfMc0yR5fmmSPL80SbN4fu0x7QpM0CbgYR3LTgKu9n5ISZIkSRrNPIfIs4Fjk7wkyd2TPAl4JrBxyvWSJEmSpJk1tyGyuufxfwGPBL4M/CXw5zM+R2Sju9tq5nl+adI8xzRJnl+aJM8vTdLMnV9zO7COJEmSJGn85rYlUpIkSZI0foZISZIkSVJthsiGSPLwJF9KcmOSzUmeVXO75yS5utrui0lOnHRdNXuGPb+SrE3y6iRXJvlxkm1J/inJ3Zerzpodo75/tW2/kKQkecuk6qjZtYTPxyOT/EuS7Ul+kuQrSY6ddH01e0Y5x5IckORtSa5LsjPJ15I8cznqq9mR5Lgk51ff1UuS59fYZu8kr0iytTq3Lk1yr+Wo7zAMkQ2Q5BjgfOAC4ChgAXhpkj8YsN2fAC8CXlBtdxHwr0l+daIV1kwZ8fxaBxwG/AVwNPAI4DbAxUn+x0QrrJky6vtX2/bHA08CvjKpOmp2LeHz8Z60pvr6FvAQ4AjgT4EfTrK+mj1LeA97O3Bv4HHAPWjNCnB2kpMnVlnNov2ArwLPAbbV3OaVwGnA02idY98CPprkoInUcEQOrNMASc4DDi2l3L9t2SuBx5VSDu2xTYBrgXeUUp7XtvyzwJWllFMnWmnNjFHOrx77+QXg+8CjSin/OvaKaiYt5fxKciDweeB3gb8CvlFKecoEq6sZM+r5leQTwHWlFL/Qq68lnGPbgReUUl7btuzzwL+XUs6cYJU1o5JsBt5SSvmrPmVuD3wPOKOUck61bE9gC/CmUsrCMlS1Flsim2ED8JGOZR8B7pTk4B7bHArcocd2Dxhr7TTrRjm/ullT/fzxWGqleTHS+ZVkD+DdwJtLKZdOsH6abUOfX0n2B44Drkjy4STXJ/l8ktMnXFfNplE/Iy8FHpvkwLQcD9yNVoumNKp7AfvSdk6WUm6m1duwUd/vDZHNsI7dm7i3ta3rtU17ufbtem2jlWmU82sX1VWwNwCfBS4ZW800D0Y9v14A7Am8ZBKV0twY5fw6vPr558AngIcCbwVek+SpY6+hZt2o72En0+qdsw24iVZ4PKOUcuHYa6iVZGa+3+817QpIarYqQL4TuCtwXCnllilXSTMuyXHAHwJHez5pAhYvkH+olPLy6vcvJbkH8Ezg3OlUS3NmAbgz8BvAdcCDgdcm+W4p5UNTrJe0LAyRzbAV6LxZ9sC2db22odruPzu267WNVqZRzi8AkuwDvAe4J/CgUsq146+eZtwo59fxwAHA1a3bu4FWq+RxSU4F7lRK2TLmemo2LeXz8cqO5VcCp4ypXpofQ59jSQ4HngXct5TyH9Xir1QDOj0XMERqVO3f769pW9647/d2Z22GTcDDOpadBFzd50v7ZlpXvrpt5/1FajfK+UWS2wD/QmvUueNKKd+ZXBU1w0Y5v94A/CqtkRAXH58D3l/9/t3JVFUzaJTz62rgO0DnlER3o/XZKbUb5Ry7TfWzsyfFzUCQRvd54EbazslqDIETaNj3e0NkM5wNHJvkJUnunuRJtLrcbFwskOTYJF9fnOOqtIbVfSVwZpLfq7bbSKvF6OwpHIOaa+jzK8ntgH+j9aXr8cAtSQ6qHquncAxqrlHev75XSrmi/UFrwKYfVs9/NpUjURON+vn4MuC3kzwjyeFJngicDrx6CsegZhv6HAO+RqsX2OuSbEhyWJLfB54I/PNyH4CaK8l+SY5KchSwD3BQ9fzO1frHVOfWeoBSyo+AN9GaZuaRSY4A3gasBt48pcPorpTiowEPWvPwfZnW1YergWd1rH8wUIAHdyz/M1rN3TcCXwIeNu1j8dG8x7DnV9vzbo9Tp308Ppr1GPX9q6PMJbSGPp/68fho1mMJn4/PBL4J7ASuAJ4y7WPx0czHKOcY8EvAe2l1MdwJfB14NrDHtI/HR3Mefb5PXVKtP7V6fmjbNnsDr6A1mM4NtFrLj5n2sXQ+nCdSkiRJklSb3VklSZIkSbUZIiVJkiRJtRkiJUmSJEm1GSIlSZIkSbUZIiVJkiRJtRkiJUmSJEm1GSIlSVqiJA9OUpIcPO261JHk1CQ/m3Y9JEmzyRApSVpRkqxPcmOS65LsNcL2P0tyasfiTwHrgOvGUUdJkprMEClJWmlvW00cAAAEXUlEQVROAz4IbAd+cxw7LKXcVErZVkq5ZRz7kySpyQyRkqQVI8ketELk24F3AKd3KbNXkhcm+WbVYrklyWurdZuBPYG/rbqvlmr5bt1Zk9w3yb8n2Znkh0nOS/KLbesXknwjyaOTfD3Jj5NckuQufer/1CQ7kqzqWP5nSa5Jskdazq3qvzPJt5K8NMm+ffa7W/fWJAdXx/TgtmV3TvJPSbZXx3RhkiN77VeSNJ8MkZKkleQ3gH2BC4C/Ax6S5NCOMm8FngEsAPcAHgt8q1p3b+Bm4E9odV9d1+1FkhwEXAhcCxxLq8XzV4B/7Ci6Dng68L+B+wO3A97Wp/5/D+wDPLpj+ROBd1UtoQG+BzwB+OWqrk8GntdnvwMlORC4tNr3A4H7AlcBlyQ5YCn7liTNlqHvBZEkaYadDry7lPIz4LokFwNPAZ4PrZY2WoHscaWUxcD3TeDTAKWU65MA7CilbOvzOs8AfgScWkq5qdr3KcCXkhxXSvn3qty+wCmllOurMq8A3pNkVSnlhs6dllJ2JDm/quP7qm2OoRV2f6sqcwvw522bbU5yOPCHwAtr/jt183Rgcynl6YsLkpwBPJxWCH71EvYtSZohtkRKklaEJOuBR9DqyrroHcDvtw2wc3T188IlvtwRwKcXAyRAKeXLwI5q3aLrFgPk4nNaLYm/SG/vAE5s6xr7ROAzpZSrFgtU3V7/I8l3k/w38DLgTks6olYr7L2S/PfiA/h/wKFAzy64kqT5Y0ukJGmlOI3W/YxfrFoTF+1Jq7vp+6dQp5s6npfqZ7+LvBcC3weekOT1wO/S6noLQJLHAa8HzgI+QatF9HHAS/rss9uAQHt3PN8D+BjwR13K7uizb0nSnDFESpLmXtuAOi8F3tOx+nm0urm+H/hCtexEdr9/cdFNtIJnP1cCT06yT1t31nsCa4Arhj6ANqWUm5O8GziF1r2aa4D3thU5DvhiKeVViwu63PfZ6XvAnkkOLKV8t1p2dEeZzwGnAtd262orSVo57M4qSVoJfgO4I/DmUsoV7Q9a3VtPTHJoKeUbwLuBNyT5vSSHJ7l3kj9u29e3gV9Pcock+/d4vdcBtwfenuRXkjyA1kA+nyylfHIMx/NOWiHvRcAHSyk/aFt3FXBkNerr4VXdf2vA/j5Dq2vqxiR3SXIS8BddjmlP4PwkD0xyaJIHJHlJkvuP4ZgkSTPCEClJWglOB/6jlHJNl3UXAz+gNcAOtEYyfTPwV8DXaLVQHtZW/v8A9wI2A+33M96qas07ETgY+CyteSmvAH57icexuP+vAF8CjqIVKNu9mVZg/Vvgi8B9aOvu2mN/PwBOpjXi6leAFwDP6SjzXeB+tLrS/jOtsPpuWvdabl3K8UiSZktKKYNLSZIkSZKELZGSJEmSpCEYIiVJkiRJtRkiJUmSJEm1GSIlSZIkSbUZIiVJkiRJtRkiJUmSJEm1GSIlSZIkSbUZIiVJkiRJtRkiJUmSJEm1/X+dQSi+e/1V9QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "agent_actions = get_all_actions(df, action_type='agent_action_history')\n",
    "env_actions = get_all_actions(df, action_type='action_history')\n",
    "print(len(agent_actions))\n",
    "\n",
    "plt.figure(figsize=[15,7.5])\n",
    "plt.hist(agent_actions, histtype='step', bins=100, label='agent_actions (u={:.2f} std={:.2f})'.format(\n",
    "                                                                                        np.mean(agent_actions),\n",
    "                                                                                        np.std(agent_actions)));\n",
    "plt.hist(env_actions, histtype='step', bins=100, label='env_actions (u={:.2f} std={:.2f})'.format(\n",
    "                                                                                        np.mean(env_actions),\n",
    "                                                                                        np.std(env_actions)));\n",
    "\n",
    "plt.title('Action histogram (actions as seen by the environment)')\n",
    "plt.legend()\n",
    "plt.xlabel('Action value')\n",
    "plt.ylabel('Frequency');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
